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2022
A. Ghosh, Pawar, A. B., Chirmade, T., Jathar, S. M., Bhambure, R., Sengupta, D., Giri, A. P., and Kulkarni, M. J., Investigation of the captopril-insulin interaction by mass spectrometry and computational approaches reveals that captopril induces structural changes in insulin, ACS Omega, vol. 7, no. 27, pp. 23115-23126, 2022.
L. Gupta, Sen, P., Bhattacharya, A. K., and Vijayaraghavan, P., Isoeugenol affects expression pattern of conidial hydrophobin gene RodA and transcriptional regulators MedA and SomA responsible for adherence and biofilm formation in Aspergillus fumigatus, Archives of Microbiology, vol. 204, no. 4, p. 214, 2022.
V. S. Wagh, Said, M. S., Bennale, J. S., and Dastager, S. G., Isolation and structural characterization of exopolysaccharide from marine Bacillus sp. and its optimization by Microbioreactor, Carbohydrate Polymers, vol. 285, p. 119241, 2022.
P. V. Bhongale, Amonkar, A. A., Joshi, S. S., and Mali, N. A., Kinetic study on alkylation of hydroquinone with methanol over SO3H functionalized Bronsted acidic ionic liquids, Canadian Journal of Chemical Engineering, vol. 100, no. 10, pp. 2986-2996, 2022.
K. Mehdiratta, Singh, S., Sharma, S., Bhosale, R. S., Choudhury, R., Masal, D. P., Manocha, A., Dhamale, B. Dilip, Khan, N., Asokachandran, V., Sharma, P., Ikeh, M., Brown, A. C., Parish, T., Ojha, A. K., Michael, J. Sarojini, Faruq, M., Medigeshi, G. R., Mohanty, D., D. Reddy, S., Natarajan, V. T., Kamat, S. S., and Gokhale, R. S., Kupyaphores are zinc homeostatic metallophores required for colonization of Mycobacterium tuberculosis, Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 8, p. e2110293119, 2022.
K. Mehdiratta, Singh, S., Sharma, S., Bhosale, R. S., Choudhury, R., Masal, D. P., Manocha, A., Dhamale, B. Dilip, Khan, N., Asokachandran, V., Sharma, P., Ikeh, M., Brown, A. C., Parish, T., Ojha, A. K., Michael, J. Sarojini, Faruq, M., Medigeshi, G. R., Mohanty, D., D. Reddy, S., Natarajan, V. T., Kamat, S. S., and Gokhale, R. S., Kupyaphores are zinc homeostatic metallophores required for colonization of Mycobacterium tuberculosis, Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 8, p. e2110293119, 2022.
S. H. Deshmukh, Chatterjee, S., Ghosh, D., and Bagchi, S., Ligand dynamics time scales identify the surface-ligandinteractions in thiocyanate-capped cadmium sulfide nanocrystals, Journal of Physical Chemistry Letters, vol. 13, no. 13, pp. 3059-3065, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
S. D. Bhame, Bhapkar, A., Shirolkar, M. M., and Joy, P. A., Magnetostriction studies on transition metal substituted cobalt ferrite, Journal of the Indian Chemical Society, vol. 99, no. 8, p. 100599, 2022.
S. D. Bhame, Bhapkar, A., Shirolkar, M. M., and Joy, P. A., Magnetostriction studies on transition metal substituted cobalt ferrite, Journal of the Indian Chemical Society, vol. 99, no. 8, p. 100599, 2022.
P. Babu, Dash, S. Ranjan, and Parida, K., Mechanistic insight the visible light driven hydrogen generation by plasmonic Au-Cu alloy mounted on TiO2 @B-doped g-C3N4 heterojunction photocatalyst, Journal of Alloys and Compounds, vol. 909, p. 164754, 2022.
P. Deulgaonkar, Bhambure, R., Prasad, B., Mishra, A., Tiwari, S., and Mody, R., Mechanistic modeling of continuous capture step purification of biosimilar monoclonal antibody therapeutic, Journal of Chemical Technology and Biotechnology, vol. 97, no. 9, pp. 2404-2419, 2022.
R. M. Dange, Gawali, C. B., Niphadkar, P. S., Bokade, V. V., and Nandanwar, S. U., Methanol-to-light olefins reaction using Zn-Ag modified SSZ-13 catalyst, ChemistrySelect, vol. 7, no. 36, p. e202201476, 2022.
A. Bhatkar, Mane, S., Mekala, S. Prasad, Gogoi, P., Mohapatra, G., Ramakrishnan, A., Marimuthu, P., and Thirumalaiswamy, R., Microwave-assisted selective N-alkylation of aniline over molybdenum supported catalyst, Catalysis Communications, vol. 168, p. 106464, 2022.
D. Ghosh, Bansode, S., Joshi, R., Kolte, B., and Gacche, R., Molecular elucidation of pancreatic elastase inhibition by baicalein, Journal of Biomolecular Structure & Dynamics, vol. 40, no. 13, pp. 5759-5768, 2022.
S. Mondal, Sarkar, S., Bagchi, D., Das, T., Das, R., Singh, A. Kumar, Prasanna, P. Kechanda, Vinod, C. P., Chakraborty, S., and Peter, S. C., Morphology-tuned Pt3Ge accelerates water dissociation to industrial-standard hydrogen production over a wide pH range, Advanced Materials, vol. 34, no. 30, p. 2202294, 2022.
V. Yadav, Jagtap, S. G., Balaraman, E., and Mhaske, S. B., Nickel-catalyzed direct synthesis of N-substituted indoles from amino alcohols and alcohols, Organic Letters, vol. 24, no. 49, pp. 9054-9059, 2022.
T. R. Shaikh, George, C. P., Bhukya, P., Shelke, N., Pawar, K., Garai, A., Dandela, R., Gonnade, R. G., and Nangia, A. K., Novel crystal forms of Entresto: a supramolecular complex of trisodium sacubitril/valsartan hemi-pentahydrate, Crystengcomm, vol. 24, no. 42, pp. 7387-7393, 2022.
S. Chakrabarty, Deshmukh, S. H., Barman, A., Bagchi, S., and Ghosh, A., On-off infrared absorption of the S=O vibrational probe of dimethyl sulfoxide, Journal of Physical Chemistry B, vol. 126, no. 24, pp. 4501-4508, 2022.
S. Chakrabarty, Deshmukh, S. H., Barman, A., Bagchi, S., and Ghosh, A., On-off infrared absorption of the S=O vibrational probe of dimethyl sulfoxide, Journal of Physical Chemistry B, vol. 126, no. 24, pp. 4501-4508, 2022.
S. M. Gade, Saptal, V. B., and Bhanage, B. M., Perception of glycerol carbonate as green chemical: synthesis and applications, Catalysis Communications, vol. 172, p. 106542, 2022.
B. P. Mali, Dash, S. Ranjan, Biswas, A., Vanka, K., Manoj, K., and Gonnade, R. G., Polymorphs of green fluorescence protein chromophore analogue: fluorescence switching with thermal stimuli, Crystal Growth & Design, vol. 22, no. 3, pp. 1892-1905, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., Porous covalent organic nanotubes and their assembly in loops and toroids, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., Porous covalent organic nanotubes and their assembly in loops and toroids, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
D. Bagchi, Sarkar, S., Singh, A. Kumar, Vinod, C. P., and Peter, S. C., Potential- and time-dependent dynamic nature of an oxide-derived pdin nanocatalyst during electrochemical CO2 reduction, ACS Nano, vol. 16, no. 4, pp. 6185-6196, 2022.
S. Ghule, Dash, S. Ranjan, Bagchi, S., Joshi, K., and Vanka, K., Predicting the redox potentials of phenazine derivatives using DFT-assisted machine learning, ACS Omega, vol. 7, no. 14, pp. 11742-11755, 2022.
I. Anis, Dar, M. Saleem, Bhat, G. Ahmad, Rather, G. Mohammad, and Dar, M. Ahmad, Probing the site-specific reactivity and catalytic activity of Ag-n (n=15-20) silver clusters, ACS Omega, vol. 7, no. 23, pp. 19687-19693, 2022.
D. Dasgupta, Sidana, A., Sarkar, B., More, S., Ghosh, D., Bhaskar, T., and Ray, A., Process development for crystalline xylitol production from corncob biomass by Pichia caribbica, Food and Bioproducts Processing, vol. 133, pp. 45-56, 2022.
A. RaviKumar, Bed, R., and V. Kumar, R., Process optimization for biodiesel production using agro-waste substrate, Journal of the American Oil Chemists Society, vol. 99, p. 44, 2022.
M. Abdulghani, Iram, R., Chidrawar, P., Bhosle, K., Kazi, R., Patil, R., Kharat, K., and Zore, G., Proteomic profile of candida albicans biofilm, Journal of Proteomics, vol. 265, p. 104661, 2022.
S. Kakku, Gaikwad, S. M., Gaikwad, S., Taralkar, S. V., Billa, S. Babu, Chakinala, A. Gupta, and Chakinala, N., Reactive extraction of gluconic acid using trioctylamine in different diluents, Chemical Engineering & Technology, vol. 45, no. 3, pp. 417-424, 2022.
R. P. Sowjanya, Shilpa, P., Patil, G. Prakash, Babu, D. Karuppanna, Sharma, J., Sangnure, V. R., Mundewadikar, D. M., Natarajan, P., Marathe, A. Rajiv, Reddy, U. K., and Singh, V. Nripendra, Reference quality genome sequence of Indian pomegranate cv. `Bhagawa' (Punica granatum L.), Frontiers in Plant Science, vol. 13, p. 947164, 2022.
N. K. Verma, Bera, S., Gonnade, R., and Mondal, D., Regioselective synthesis of 1,4,5-trisubstituted 1,2,3-triazole derivatives from alpha,beta-unsaturated carbonyls, European Journal of Organic Chemistry, vol. 2022, no. 28, p. e202200317, 2022.
P. V. Bhongale, Joshi, S. S., and Mali, N. A., Reusable and efficient polystyrene immobilized ionic liquid catalyst for batch and flow methylation of hydroquinone, Catalysis Letters, vol. 152, no. 11, pp. 3304-3316, 2022.
N. Shaikh, Bapat, S., Karthikeyan, M., and Vyas, R., Review on computational analysis of big data in breast cancer for predicting potential biomarkers, Current Topics in Medicinal Chemistry, vol. 22, no. 21, pp. 1793-1810, 2022.
A. B. Shabade, Sharma, D. M., Bajpai, P., Gonnade, R. G., Vanka, K., and Punji, B., Room temperature chemoselective hydrogenation of C=C, C=O and C=N bonds by using a well-defined mixed donor Mn(I) pincer catalyst, Chemical Science, vol. 13, no. 46, pp. 13764-13773, 2022.
H. Bhagavatula, Sarkar, A., Santra, B., and Das, A., Scan-find-scan-model: discrete site-targeted suppressor design strategy for amyloid-beta, ACS Chemical Neuroscience, vol. 13, no. 14, pp. 2191-2208, 2022.
M. D. Baravkar and Prasad, B. L. V., Selective electro-oxidation of phenol to 1,4-hydroquinone employing carbonaceous electrodes: surface modification is the key, New Journal of Chemistry, vol. 46, pp. 2518-2525, 2022.
M. Banoo, Chatterjee, K., Mondal, S., Vinod, C. P., and Gautam, U. K., `Self-activating' Bi3TaO7-Bi4TaO8Br photocatalyst and its use in the sustainable production of pro-fluorophoric rhodamine-110, Green Chemistry, vol. 24, no. 14, pp. 5514-5523, 2022.
M. Ghosh, Szunerits, S., Cao, N., Kurungot, S., and Boukherroub, R., Single-step synthesis of exfoliated Ti3C2Tx MXene through NaBF4/HCl etching as electrode material for asymmetric supercapacitor, ChemistrySelect, vol. 7, no. 19, p. e202201166, 2022.
G. Kundu, Balayan, K., Tothadi, S., and Sen, S. S., Six-membered saturated NHC-stabilized borenium cations: isolation of a cationic analogue of borinic acid, Inorganic Chemistry, vol. 61, no. 33, pp. 12991-12997, 2022.
R. Ben Ayed, Moreau, F., Ben Hlima, H., Rebai, A., Ercisli, S., Kadoo, N., Hanana, M., Assouguem, A., Ullah, R., and Ali, E. A., SNP discovery and structural insights into OeFAD2 unravelling high oleic/linoleic ratio in olive oil, Computational and Structural Biotechnology Journal, vol. 20, pp. 1229-1243, 2022.
R. Ben Ayed, Moreau, F., Ben Hlima, H., Rebai, A., Ercisli, S., Kadoo, N., Hanana, M., Assouguem, A., Ullah, R., and Ali, E. A., SNP discovery and structural insights into OeFAD2 unravelling high oleic/linoleic ratio in olive oil, Computational and Structural Biotechnology Journal, vol. 20, pp. 1229-1243, 2022.
P. B. Patil and Bhandari, V. M., Solvent-assisted cavitation for enhanced removal of organic pollutants - degradation of 4-aminophenol, Journal of Environmental Management, vol. 311, p. 114857, 2022.
A. Reddy Vennapusa, Agarwal, S., Hm, H. Rao, Aarthy, T., Babitha, K. C., V. Thulasiram, H., Kulkarni, M. J., Melmaiee, K., Sudhakar, C., Udayakumar, M., and Vemanna, R. S., Stacking herbicide detoxification and resistant genes improves glyphosate tolerance and reduces phytotoxicity in tobacco (Nicotiana tabacum L.) and rice (Oryza sativa L.), Plant Physiology and Biochemistry, vol. 189, pp. 126-138, 2022.
S. Panda, Jozwiak, A., Sonawane, P. D., Szymanski, J., Kazachkova, Y., Vainer, A., Kilambi, H. Vasuki, Almekias-Siegl, E., Dikaya, V., Bocobza, S., Shohat, H., Meir, S., Wizler, G., Giri, A. P., Schuurink, R., Weiss, D., Yasuor, H., Kamble, A., and Aharoni, A., Steroidal alkaloids defence metabolism and plant growth are modulated by the joint action of gibberellin and jasmonate signalling, New Phytologist, vol. 233, no. 3, pp. 1220-1237, 2022.
D. Goud, Churipard, S. R., Bagchi, D., Singh, A. Kumar, Riyaz, M., Vinod, C. P., and Peter, S. C., Strain-enhanced phase transformation of iron oxide for higher alcohol production from CO2, ACS Catalysis, vol. 12, no. 18, pp. 11118-11128, 2022.
D. Bagchi, Raj, J., Singh, A. Kumar, Cherevotan, A., Roy, S., Manoj, K. Sai, Vinod, C. P., and Peter, S. C., Structure-tailored surface oxide on Cu-Ga intermetallics enhances CO2 reduction selectivity to methanol at ultralow potential, Advanced Materials, vol. 34, no. 19, p. 2109426, 2022.
D. Dixit, Bhandari, V. M., Mane, M. B., and Balapure, K., Studies in instant water disinfection using natural oils, Biochemical Engineering Journal, vol. 187, p. 108631, 2022.
D. Dixit, Bhandari, V. M., Mane, M. B., and Balapure, K., Studies in instant water disinfection using natural oils, Biochemical Engineering Journal, vol. 187, p. 108631, 2022.
T. Kandasamy, Banu, M., R. Shanthi, V., and Sivasanker, S., Suitability of different supported Ru, Pt and Ni catalysts for the hydrogenolysis of sorbitol, Results in Engineering, vol. 15, p. 100594, 2022.
P. Kumar, Bajpai, H., Gopinath, C. S., and Luwang, M. Niraj, Sulfur functionalization via epoxide ring opening on a reduced graphene oxide surface to form metal (II) Organo-bis-[1,2]-oxathiin, Inorganic Chemistry, vol. 61, no. 1, pp. 279-286, 2022.
N. Parekh, Bijosh, C. K., Kane, K., Panicker, A., Nisal, A., Wangikar, P., and Agawane, S., Superior processability of Antheraea mylitta silk with cryo-milling: performance in bone tissue regeneration, International Journal of Biological Macromolecules, vol. 213, pp. 155-165, 2022.
T. Sinha, Adhikari, P. Pradip, and Bhandari, V. M., Sustainable fabrication of copper nanoparticles: a potent and affordable candidate for water treatment, water disinfection, antioxidant activity and theranostic agent, ChemistrySelect, vol. 7, no. 15, p. e202103552, 2022.
V. Swaroopa D. Devulapalli, Kushwaha, R., Ovalle, E., Singh, H. Dev, Shekhar, P., Chakraborty, D., Vinod, C. Prabhakara, Vaidhyanathan, R., and Borguet, E., Synergistic electronic effects in AuCo nanoparticles stabilized in a triazine-based covalent organic framework: a catalyst for methyl orange and methylene blue reduction, ACS Applied Nano Materials, vol. 5, no. 4, pp. 4744-4753, 2022.
J. L. Nalawade, Mhaske, P. C., Shinde, A. D., Chavan, A. P., Abhale, Y. K., Sarkar, D., and Bobade, V. D., Synthesis and antimycobacterial screening of a novel series of alpha-amino acids containing thiazole linker, ARKIVOC, 2022.
N. Kumari, Bahadur, V., Butcher, R. J., and Kumbhar, A. A., Synthesis, characterization and single crystal x-ray structures of trifluroacetylacetonate copper(ii) complexes, Journal of Chemical Crystallography, vol. 52, no. 4, pp. 525-533, 2022.
N. Kumari, Bahadur, V., Butcher, R. J., and Kumbhar, A. A., Synthesis, characterization and single crystal x-ray structures of trifluroacetylacetonate copper(ii) complexes, Journal of Chemical Crystallography, vol. 52, no. 4, pp. 525-533, 2022.
S. M. Jagadale, Abhale, Y. K., Pawar, H. R., Shinde, A., Bobade, V. D., Chavan, A. P., Sarkar, D., and Mhaske, P. C., Synthesis of new thiazole and pyrazole clubbed 1,2,3-triazol derivatives as potential antimycobacterial and antibacterial agents, Polycyclic Aromatic Compounds, vol. 42, no. 6, pp. 3216-3237, 2022.
H. M. Abdul Hakkeem, Babu, A., Shilpa, N., Venugopal, A. A., Mohamed, A. P., Kurungot, S., and Pillai, S., Tailored synthesis of ultra-stable Au@Pd nanoflowers with enhanced catalytic properties using cellulose nanocrystals, Carbohydrate Polymers, vol. 292, p. 119723, 2022.
F. Sultan, Basu, R., Murthy, D., Kochar, M., Attri, K. S., Aggarwal, A., Kumari, P., Dnyane, P., Tanwar, J., Motiani, R. K., Singh, A., Gadgil, C., Bhavesh, N. Sarovar, Singh, P. K., Natarajan, V. T., and Gokhale, R. S., Temporal analysis of melanogenesis identifies fatty acid metabolism as key skin pigment regulator, Plos Biology, vol. 20, no. 5, p. e3001634, 2022.
F. Sultan, Basu, R., Murthy, D., Kochar, M., Attri, K. S., Aggarwal, A., Kumari, P., Dnyane, P., Tanwar, J., Motiani, R. K., Singh, A., Gadgil, C., Bhavesh, N. Sarovar, Singh, P. K., Natarajan, V. T., and Gokhale, R. S., Temporal analysis of melanogenesis identifies fatty acid metabolism as key skin pigment regulator, Plos Biology, vol. 20, no. 5, p. e3001634, 2022.
U. Kumar Nandi, Patel, P., Moid, M., Nandi, M. Kumar, Sengupta, S., Karmakar, S., Maiti, P. K., Dasgupta, C., and Bhattacharyya, S. Maitra, Thermodynamics and its correlation with dynamics in a mean-field model and pinned systems: a comparative study using two different methods of entropy calculation, Journal of Chemical Physics, vol. 156, no. 1, p. 014503, 2022.
B. Sai Allaka, Basavoju, S., and Gamidi, R. Krishna, Transition metal- and oxidant-free regioselective synthesis of 3,4,5-trisubstituted pyrazoles by means of [3+2] cycloaddition reactions, ChemistrySelect, vol. 7, no. 11, p. e202200605, 2022.
A. Cherevotan, Ray, B., Yadav, A., Bagchi, D., Singh, A. Kumar, Riyaz, M., Churipard, S. R., Naral, V., Kaur, K., Gautam, U. K., Vinod, C. P., and Peter, S. C., Tuning the hybridization and charge polarization in metal nanoparticles dispersed over Schiff base functionalized SBA-15 enhances CO2 capture and conversion to formic acid, Journal of Materials Chemistry A, vol. 10, no. 35, pp. 18354-18362, 2022.
G. Santhosh, Nayaka, G. P., and Bhatt, A. S., Ultrahigh capacitance of NiCo2O4/CeO2 mixed metal oxide material for supercapacitor applications, Journal of Alloys and Compounds, vol. 899, p. 163312, 2022.
S. Huang, Natu, V., Tao, J., Xia, Y., Mochalin, V. N., and Barsoum, M. W., Understanding the effect of sodium polyphosphate on improving the chemical stability of Ti3C2Tz MXene in water, Journal of Materials Chemistry A, vol. 10, no. 41, pp. 22016-22024, 2022.
K. Gani, Chirmade, T., Ughade, S., Thulasiram, H., and Bhambure, R., Understanding unfolding and refolding of the antibody fragment (Fab) III: mapping covalent and non-covalent interactions during in-vitro refolding of light chain, heavy chain, and Fab., Biochemical Engineering Journal, vol. 187, p. 108644, 2022.
N. Nainwal, Chirmade, T., Gani, K., Rana, S., and Bhambure, R., Understanding unfolding and refolding of the antibody fragments (Fab). II. Mapping intra and inter-chain disulfide bonds using mass spectrometry, Biochemical Engineering Journal, vol. 182, p. 108439, 2022.
K. Koner, Das, S., Mohata, S., Duong, N. Tuan, Nishiyama, Y., Kandambeth, S., Karak, S., C. Reddy, M., and Banerjee, R., Viscoelastic covalent organic nanotube fabric via macroscopic entanglement, Journal of the American Chemical Society, vol. 144, no. 35, pp. 16052-16059, 2022.
B. Krishnakumar, Pucci, A., Wadgaonkar, P. P., Kumar, I., Binder, W. H., and Rana, S., Vitrimers based on bio-derived chemicals: overview and future prospects, Chemical Engineering Journal, vol. 433, p. 133261, 2022.
A. Datar, Paithankar, H., Deb, P., Chugh, J., Bagchi, S., Mukherjee, A., and Hazra, A., Water-controlled keto-enol tautomerization of a prebiotic nucleobase, Journal of Physical Chemistry B, vol. 126, no. 31, pp. 5735–5743, 2022.
P. M. M. Bodhankar, Dhawale, D. S. S., Giddey, S., Kumar, R., and Sarawade, P. B. B., Well-defined hierarchical teddy bear sunflower-like NiCo2O4 electrocatalyst for superior water oxidation, Sustainable Energy & Fuels, vol. 6, no. 24, pp. 5491-5502, 2022.
2021
M. Kumar Bisai, Ajithkumar, V. S., Gonnade, R. G., and Sen, S. S., Access to a variety of Ge(II) and Sn(II) compounds through substitution of hypersilyl moiety, Organometallics, vol. 40, no. 15, pp. 2651-2657, 2021.
P. S. Pawar, Lokhande, A. A., Nandanwar, S. U., Niphadkar, P. S., and Bokade, V. V., Active nickel hollow nanosphere supported over SiO2 catalyst for reduction of nitro compound, Particulate Science and Technology, vol. 40, no. 3, pp. 325-335, 2021.
S. Bansal, Shabade, A. B., and Punji, B., Advances in C(sp(2))-H/C(sp(2))-H oxidative coupling of (Hetero)arenes using 3d transition metal catalysts, Advanced Synthesis & Catalysis, vol. 363, no. 8, pp. 1998-2022, 2021.
S. Bhowmik and Darbha, S., Advances in solid catalysts for selective hydrogenolysis of glycerol to 1,3-propanediol, Catalysis Reviews-Science and Engineering, 2021.
Goudappagouda, Nidhankar, A. D., Nayak, R. A., and Babu, S. Santhosh, Aggregation-induced phosphorescence of an anthraquinone based emitter, Organic & Biomolecular Chemistry, vol. 19, no. 5, pp. 1004-1008, 2021.
S. Chavan, Bhuvad, S., Kumbhlakar, B., Auti, J., Walunj, T., Pathak, S., Tanpure, R., Gujar, S., Shinde, J., Kulkarni, A., Gupta, V., Deshmukh, V., and Sardeshmukh, S., Antimicrobial and antioxidant potential of a standardized ayurvedic formulation explains its clinical efficacy as gargles in post-radiotherapy oral cancer patients, Journal of Herbal Medicine, vol. 30, p. 100510, 2021.
B. Ranpariya, Salunke, G., Karmakar, S., Babiya, K., Sutar, S., Kadoo, N., Kumbhakar, P., and Ghosh, S., Antimicrobial synergy of silver-platinum nanohybrids with antibiotics, Frontiers in Microbiology, vol. 11, p. 610968, 2021.
R. Lochana Panchangam, Rao, R. Nishanth, Balamurali, M. Motilal, Hingamire, T. B., Shanmugam, D., Manickam, V., and Chanda, K., Antitumor effects of Ir(III)-2H-indazole complexes for triple negative breast cancer, Inorganic Chemistry, vol. 60, no. 23, pp. 17593-17607, 2021.
R. Parate, Borgave, M., Dharne, M., and Rode, C., Bioglycerol (C3) upgrading to 2,3-butanediol (C4) by cell-free extracts of Enterobacter aerogenes NCIM 2695, Journal of Chemical Technology and Biotechnology, vol. 96, no. 5, pp. 1316-1325, 2021.
A. Syed, Saedi, M. Hussain Al, Bahkali, A. H., Elgorban, A. M., Kharat, M., Pai, K., Ghodake, G., and Ahmad, A., Biological synthesis of alpha-Ag2S composite nanoparticles using the fungus Humicola sp. and its biomedical applications, Journal of Drug Delivery Science and Technology, vol. 66, p. 102770, 2021.
D. A. Kambale, Borade, B. R., and Kontham, R., Bismuth(iii)-catalyzed bis-cyclization of propargylic diol-esters: a unified approach for the synthesis of [5,5]- and [6,5]-oxaspirolactones, Organic & Biomolecular Chemistry, vol. 19, no. 30, pp. 6618-6622, 2021.
A. S. Burange and Gopinath, C. S., Catalytic applications of hydrotalcite and related materials in multi -component reactions: concepts, challenges and future scope, Sustainable Chemistry and Pharmacy, vol. 22, p. 100458, 2021.
K. M. Bairagi, Younis, N. Safwat, Emeka, P. Madu, Venugopala, K. N., ,, Khalil, H. Ezzat, Sangtani, E., Gonnade, R. G., Mohanlall, V., and Nayak, S. K., Chemistry, anti-diabetic activity and structural analysis of substituted dihydropyrimidine analogues, Journal of Molecular Structure, vol. 1227, p. 129412, 2021.
D. Mehta, Chirmade, T., Tungekar, A. A., Gani, K., and Bhambure, R., Cloning and expression of antibody fragment (Fab) I: effect of expression construct and induction strategies on light and heavy chain gene expression, Biochemical Engineering Journal, vol. 176, p. 108189, 2021.
P. Bhol, Swain, S., Jena, S., Bhatte, K., Rout, C. Sekhar, Saxena, M., Jadhav, A. H., and Samal, A. K., Co-decorated tellurium nanotubes for energy storage applications, ACS Applied Nano Materials, vol. 4, no. 9, pp. 9008-9021, 2021.
P. Bhol, Swain, S., Jena, S., Bhatte, K., Rout, C. Sekhar, Saxena, M., Jadhav, A. H., and Samal, A. K., Co-decorated tellurium nanotubes for energy storage applications, ACS Applied Nano Materials, vol. 4, no. 9, pp. 9008-9021, 2021.
B. P. Bhusare, John, C. K., Bhatt, V. P., and Nikam, T. D., Colchicine induces tetraploids in in vitro cultures of digitalis lanata Ehrh.: enhanced production of biomass and cardiac glycosides, Industrial Crops and Products, vol. 174, p. 114167, 2021.
B. P. Bhusare, John, C. K., Bhatt, V. P., and Nikam, T. D., Colchicine induces tetraploids in in vitro cultures of digitalis lanata Ehrh.: enhanced production of biomass and cardiac glycosides, Industrial Crops and Products, vol. 174, p. 114167, 2021.

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