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2022
V. Ahuja, Dasgupta, D., Kshirsagar, S., Ghosh, P., More, S., Gupta, P., Behera, B., and Bhaskar, T., “Crystalline xylitol production from corncob biomass with oral toxicity analysis”, Industrial Crops and Products, vol. 187, no. 8, p. 115407, 2022.
V. Ahuja, Dasgupta, D., Kshirsagar, S., Ghosh, P., More, S., Gupta, P., Behera, B., and Bhaskar, T., “Crystalline xylitol production from corncob biomass with oral toxicity analysis”, Industrial Crops and Products, vol. 187, no. 8, p. 115407, 2022.
R. Kumar, Ghosh, A., and Vaval, N., “Decay processes in cationic alkali metals in microsolvated clusters: a complex absorbing potential based equation-of-motion coupled cluster investigation”, Journal of Chemical Theory and Computation, vol. 18, no. 2, pp. 807-816, 2022.
L. Goswami, Gupta, L., Paul, S., Vermani, M., Vijayaraghavan, P., and Bhattacharya, A. K., “Design and synthesis of eugenol/isoeugenol glycoconjugates and other analogues as antifungal agents against Aspergillus fumigatus”, RSC Medicinal Chemistry, vol. 13, no. 8, pp. 955-962, 2022.
L. Goswami, Gupta, L., Paul, S., Vermani, M., Vijayaraghavan, P., and Bhattacharya, A. K., “Design and synthesis of eugenol/isoeugenol glycoconjugates and other analogues as antifungal agents against Aspergillus fumigatus”, RSC Medicinal Chemistry, vol. 13, no. 8, pp. 955-962, 2022.
G. S. Kallure, Shinde, B. A., Barvkar, V. T., Kumari, A., and Giri, A. P., “Dietary influence on modulation of Helicoverpa armigera oral secretion composition leading to differential regulation of tomato plant defense”, Plant Science, vol. 314, p. 111120, 2022.
G. S. Kallure, Shinde, B. A., Barvkar, V. T., Kumari, A., and Giri, A. P., “Dietary influence on modulation of Helicoverpa armigera oral secretion composition leading to differential regulation of tomato plant defense.”, Plant Science, vol. 314, p. 111120, 2022.
M. Lakshmipathi, Tothadi, S., Emmerling, F., Bhattacharya, B., and Ghosh, S., “Different mechanical responses of dimorphic forms of anthracene schiffbase crystal”, Journal of Molecular Structure, vol. 1252, p. 132182, 2022.
W. Khan, Khan, N., Mishra, A., Gupta, S., Bansode, V., Mehta, D., Bhambure, R., and Rathore, A., “Dimerization of SARS-CoV-2 nucleocapsid protein affects sensitivity of ELISA based diagnostics of COVID-19”, International Journal of Biological Macromolecules, vol. 200, pp. 428-437, 2022.
V. T. Humne, Ghom, M. H., Naykode, M. S., Dangat, Y., Vanka, K., and Lokhande, P., “Direct oxidation of bromo-derived Fischer-Borsche oxo-ring using molecular iodine with combined experimental and computational study”, Organic & Biomolecular Chemistry, vol. 20, no. 29, pp. 5726-5729, 2022.
Y. A. Mahajan, Shinde, B. A., Mulani, F. A., Gade, A. B., Kasodekar, A. K., Thulasiram, H. V., Kadoo, N. Y., and Nikam, T. D., “Diversity assessment of Gloriosa superba accessions from Western Ghats of India based on morphological traits, ISSR markers and metabolite content”, Journal of Applied Research on Medicinal and Aromatic Plants, vol. 30, p. 100388, 2022.
G. Navale, Singh, S., Agrawal, S., Ghosh, C., Choudhury, A. Roy, Roy, P., Sarkar, D., and Ghosh, K., “DNA binding, antitubercular, antibacterial and anticancer studies of newly designed piano-stool ruthenium(ii) complexes”, Dalton Transactions, vol. 51, no. 42, pp. 16371-16382, 2022.
G. Navale, Singh, S., Agrawal, S., Ghosh, C., Choudhury, A. Roy, Roy, P., Sarkar, D., and Ghosh, K., “DNA binding, antitubercular, antibacterial and anticancer studies of newly designed piano-stool ruthenium(ii) complexes”, Dalton Transactions, vol. 51, no. 42, pp. 16371-16382, 2022.
V. Chandrakan Wakchaure, Veer, S. D., Nidhankar, A. D., Goudappagouda,, Nayak, R., Asokan, K., Ravindranathan, S., and Babu, S. Santhosh, “Donor-acceptor based solvent-free organic liquid hybrids with exciplex emission and room temperature phosphorescence”, Chemical Communications, vol. 58, no. 12, pp. 1998-2001, 2022.
S. Mohata, Dey, K., Bhunia, S., Thomas, N., E. Gowd, B., Ajithkumar, T. G., C. Reddy, M., and Banerjee, R., “Dual nanomechanics in anisotropic porous covalent organic framework janus-type thin films”, Journal of the American Chemical Society, vol. 144, no. 1, pp. 400-409, 2022.
K. Balanna, Barik, S., Shee, S., Gonnade, R. G., and Biju, A. T., “Dynamic kinetic resolution of gamma,gamma-disubstituted indole 2-carboxaldehydes via NHC-Lewis acid cooperative catalysis for the synthesis of tetracyclic epsilon-lactones”, vol. 13, no. 39, pp. 11513-11518, 2022.
S. R. Ghodke, Thundiyil, S., Dongapure, P., and R. Devi, N., “Effect of B site substitution in Gd2B2-xNiyO7-delta (B= Ti, Zr) ternary metal oxide catalysts in dry reforming of methane”, Molecular Catalysis, vol. 522, p. 112242, 2022.
D. Tomar, Lodagekar, A., Gunnam, A., Allu, S., Chavan, R. B., Tharkar, M., Ajithkumar, T. G., Nangia, A. K., and Shastri, N. R., “The effects of cis and trans butenedioic acid on the physicochemical behavior of lumefantrine”, Crystengcomm, vol. 24, no. 1, pp. 156-168, 2022.
R. A. Jagtap, Pradhan, C., Gonnade, R. G., and Punji, B., “Efficient route to 3,3 `-biindolinylidene-diones by iron-catalyzed dimerization of isatins”, Chemistry-an Asian Journal, vol. 17, no. 15, p. e202200414, 2022.
H. Kuiry, Das, D., Das, S., Chakraborty, S., Chandra, B., and Gupta, S. Sen, “Electrocatalytic alcohol oxidation by a molecular iron complex”, Faraday Discussions, vol. 234, pp. 42-57, 2022.
S. Dilwale, Ghosh, M., Vijayakumar, V., and Kurungot, S., “Electrodeposited layered sodium vanadyl phosphate (NaxVOPO4 center dot nH(2)O) as cathode material for aqueous rechargeable zinc metal batteries”, Energy & Fuels, vol. 36, no. 12, pp. 6520-6531, 2022.
R. Ranjan, Mhamane, N. B., Kolekar, S. K., and Gopinath, C. S., “Electronic structure evolution from metallic vanadium to metallic VxOy: a nappes study for o2+v gas-solid interaction”, Journal of Physical Chemistry C, vol. 126, no. 45, pp. 19136-19146, 2022.
S. Singh, Bhardwaj, S., Verma, C., Chhajed, M., Balayan, K., Ghosh, K., and Maji, P. K., “Elliptically birefringent chemically tuned liquid crystalline nanocellulose composites for photonic applications”, Journal of Molecular Liquids, vol. 366, p. 120326, 2022.
S. R. Keshri, Mandal, I., Ganisetti, S., Kasimuthumaniyan, S., Kumar, R., Gaddam, A., Shelke, A., Ajithkumar, T. G., Gosvami, N. Nand, Krishnan, N. M. Anoop, and Allu, A. R., “Elucidating the influence of structure and Ag+ -Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65 P-1.8 O-12 glass electrolyte”, Acta Materialia, vol. 227, p. 117745, 2022.
S. R. Keshri, Mandal, I., Ganisetti, S., Kasimuthumaniyan, S., Kumar, R., Gaddam, A., Shelke, A., Ajithkumar, T. G., Gosvami, N. Nand, Krishnan, N. M. Anoop, and Allu, A. R., “Elucidating the influence of structure and Ag+ -Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65 P-1.8 O-12 glass electrolyte”, Acta Materialia, vol. 227, p. 117745, 2022.
S. R. Keshri, Mandal, I., Ganisetti, S., Kasimuthumaniyan, S., Kumar, R., Gaddam, A., Shelke, A., Ajithkumar, T. G., Gosvami, N. Nand, Krishnan, N. M. Anoop, and Allu, A. R., “Elucidating the influence of structure and Ag+ -Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65 P-1.8 O-12 glass electrolyte”, Acta Materialia, vol. 227, p. 117745, 2022.
S. Barik, Shee, S., Gonnade, R. G., and Biju, A. T., “Enantioselective synthesis of dihydrothiopyranones via NHC- catalyzed [3+3] annulation of 2-bromoenals with beta-oxodithioesters”, Organic Letters, vol. 24, no. 48, pp. 8848-8853, 2022.
A. Khan, Said, M. S., Borade, B. R., Gonnade, R., Barvkar, V., Kontham, R., and Dastager, S. G., “Enceleamycins A-C, furo-naphthoquinones from amycolatopsis sp. MCC0218: isolation, structure elucidation, and antimicrobial activity”, Journal of Natural Products, vol. 85, no. 5, pp. 1267-1273, 2022.
A. Prabhu, Shanmugam, D., and Gadgil, M., “Engineering nucleotide sugar synthesis pathways for independent and simultaneous modulation of N-glycan galactosylation and fucosylation in CHO cells”, Metabolic Engineering, vol. 74, pp. 61-71, 2022.
P. R. Mutadak, Chaudhari, N. S., Gadhave, D. C., Rajput, P. K., Kolekar, S. K., Late, D. J., More, M. A., and Warule, S. S., “Enhanced field emission behaviour from ethylene glycol mediated synthesis of 2D hexagonal SnS2 disc with nanoparticle”, Materials Science and Engineering B-Advanced Functional Solid-State Materials, vol. 284, p. 115865, 2022.
L. Mirely de Brandao, Barbosa, Mdos Santos, de Jesus, R. Anjos, Bharad, P. Arunrao, Lima, A. Silva, Soares, C. Mara Faria, Yerga, R. Manuel Nav, Bilal, M., Ferreira, L. Fernando R., Iqbal, H. M. N., Gopinath, C. S., and Figueiredo, R. Tavares, “Enhanced hydrogen fuel production using synergistic combination of solar radiation and TiO2 photocatalyst coupled with Burkholderia cepacia lipase”, International Journal of Hydrogen Energy, vol. 47, no. 32, pp. 14483-14492, 2022.
A. Dubey, Mishra, A. Kumar, Negi, S. Singh, and Gopinath, C. S., “Facile, sustainable and unassisted plain water oxidation on Au/Ce0.9Ti0.1O2 nanorods in direct sunlight”, Journal of Chemical Sciences, vol. 134, no. 2, p. 61, 2022.
N. V. Puranik, Swami, S., Misar, A. V., Mamgain, R., Gulawani, S. S., Dhiman, S., and Srivastava, P., “First synthesis of podocarflavone A and its analogs and evaluation of their antimycobacterial potential against mycobacterium tuberculosis with the support of virtual screening”, Natural Product Research, vol. 36, no. 15, pp. 3879-3886, 2022.
R. S. Ghodake, Doshi, P., and V. Orpe, A., “Flow of lubricated granular material on an inclined plane”, Powder Technology, vol. 409, p. 117809, 2022.
P. R. Barve, Tellis, M. B., Barvkar, V. T., Joshi, R. S., Giri, A. P., and Kotkar, H. M., “Functional diversity of the lepidopteran ATP-binding cassette transporters”, Journal of Molecular Evolution, vol. 90, no. 3-4, pp. 258-270, 2022.
T. P. Gurav, Dholakia, B. B., and Giri, A. P., “Glance at the chemodiversity of Ocimum species: Trends, implications, and strategies for the quality and yield improvement of essential oil”, Phytochemistry Reviews, vol. 21, no. 3, pp. 879-913, 2022.
T. P. Gurav, Dholakia, B. B., and Giri, A. P., “Glance at the chemodiversity of Ocimum species: Trends, implications, and strategies for the quality and yield improvement of essential oil”, Phytochemistry Reviews, vol. 21, no. 3, pp. 879-913, 2022.
S. Prasad Mekala, Prabu, M., Gawali, S. Datta, Gopakumar, K., Gogoi, P., Bhatkar, A. Ravindra, Mohapatra, G., Unnikrishanan, E., and Raja, T., “Green synthesis of cyclohexanone to adipic acid over Fe-W oxides incorporated mesoporous carbon support”, Catalysis Communications, vol. 168, p. 106466, 2022.
S. Prasad Mekala, Prabu, M., Gawali, S. Datta, Gopakumar, K., Gogoi, P., Bhatkar, A. Ravindra, Mohapatra, G., Unnikrishanan, E., and Raja, T., “Green synthesis of cyclohexanone to adipic acid over Fe-W oxides incorporated mesoporous carbon support”, Catalysis Communications, vol. 168, p. 106466, 2022.
S. Prasad Mekala, Prabu, M., Gawali, S. Datta, Gopakumar, K., Gogoi, P., Bhatkar, A. Ravindra, Mohapatra, G., Unnikrishanan, E., and Raja, T., “Green synthesis of cyclohexanone to adipic acid over Fe-W oxides incorporated mesoporous carbon support”, Catalysis Communications, vol. 168, p. 106466, 2022.
V. A. Prabhu, Rajput, V., Yadav, R., Gohil, K., Dharne, M. S., Unnikrishnan, M. Kesavan, and Gorthi, S. Prasad, “Gut microbiota dysbiosis in patients with intracranial sino-venous thrombosis and acute ischemic stroke in the young”, Annals of Indian Academy of Neurology, vol. 25, no. 5, p. 980+, 2022.
V. A. Prabhu, Rajput, V., Yadav, R., Gohil, K., Dharne, M. S., Unnikrishnan, M. Kesavan, and Gorthi, S. Prasad, “Gut microbiota dysbiosis in patients with intracranial sino-venous thrombosis and acute ischemic stroke in the young”, Annals of Indian Academy of Neurology, vol. 25, no. 5, p. 980+, 2022.
K. Gour, Bisai, M. Kumar, and Sen, S. S., “Hypersilyl substituent in heavier low-valent group 14 chemistry”, European Journal of Inorganic Chemistry, vol. 2022, no. 11, p. e202200071, 2022.
M. Goldsmith, Barad, S., Knafo, M., Savidor, A., Ben-Dor, S., Brandis, A., Mehlman, T., Peleg, Y., Albeck, S., Dym, O., Ben-Zeev, E., Barbole, R. S., Aharoni, A., and Reich, Z., “Identification and characterization of the key enzyme in the biosynthesis of the neurotoxin beta-ODAP in grass pea”, Journal of Biological Chemistry, vol. 298, no. 5, p. 101806, 2022.
M. Kurian, Ghosh, M., Vijayakumar, V., Puthiyaveetil, P. Pandinhare, Torris, A., and Kurungot, S., “Influence of ice templating on oxygen reduction catalytic activity of metal-free heteroatom-doped mesoporous carbon derived from polypyrrole for zinc-air batteries”, Energy Technology, vol. 10, no. 12, 2022.
A. Cherevotan, Ray, B., Churipard, S. R., Kaur, K., Gautam, U. K., Vinod, C. P., and Peter, S. C., “Influence of support textural property on CO2 to methane activity of Ni/ SiO2 catalysts”, Applied Catalysis B-Environmental, vol. 317, p. 121692, 2022.
F. Galvanin, Hartman, R. L., Kulkarni, A. A., and Nieves-Remacha, M. Jose, “Introduction to the themed collection on digitalization in reaction engineering”, Reaction Chemistry & Engineering, vol. 7, no. 4, pp. 792-794, 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.
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.
S. Mane, Pathan, E., Tupe, S., Deshmukh, S., Kale, D., Ghormade, V., Chaudhari, B., and Deshpande, M., “Isolation and characterization of chitosans from different fungi with special emphasis on zygomycetous dimorphic fungus benjaminiella poitrasii: evaluation of its chitosan nanoparticles for the inhibition of human pathogenic fungi”, Biomacromolecules, p. null, 2022.
K. Culhane, Gupte, T., Madhugiri, I., Gadgil, C., and Sivaramakrishnan, S., “Kinetic model of GPCR-G protein interactions reveals allokairic modulation of signaling”, Biophysical Journal, vol. 121, no. 3, p. 122, 2022.
K. Culhane, Gupte, T., Madhugiri, I., Gadgil, C., and Sivaramakrishnan, S., “Kinetic model of GPCR-G protein interactions reveals allokairic modulation of signaling”, Biophysical Journal, vol. 121, no. 3, p. 122, 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.
M. A. Shaikh, Samal, P. Paramita, Ubale, A. S., Krishnamurty, S., and Gnanaprakasam, B., “Lewis acid-catalyzed chemodivergent and regiospecific reaction of phenols with quaternary peroxyoxindoles”, Journal of Organic Chemistry, vol. 87, no. 21, pp. 14155-14167, 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.
M. Christopher, Sreeja-Raju, A., Sankar, M., Gokhale, D. Vitthal, Pandey, A., and Sukumaran, R. K., “Lignocellulose degradation by Penicillium janthinellum enzymes is influenced by its variable secretome and a unique set of feedstock characteristics”, Bioresource Technology, vol. 365, p. 128129, 2022.
S. Jyotsna, Sadhu, S., Sharma, V., Gupta, P., Sharma, G., and Poddar, P., “Luminescence turn-off detection of metal ions and explosives using graphene quantum dots”, MRS Communications, vol. 12, no. 2, pp. 168-174, 2022.
R. Kumar, Pahar, S., Chatterjee, J., Dash, S. Ranjan, Gonnade, R. G., Vanka, K., and Sen, S. S., “Luminescent magnesium complexes with intra- and inter-ligand charge transfer”, Chemical Communications, vol. 58, no. 84, pp. 11843-11846, 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.
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.
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A. Sreejan, Gadgil, M., and Gadgil, C. J., “Mathematical model of the multi-amino acid multi-transporter system predicts uptake flux in CHO cells”, Journal of Biotechnology, vol. 344, pp. 40-49, 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.
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R. Kumar, Dutta, S., Sharma, V., Singh, P. P., Gonnade, R. G., Koley, D., and Sen, S. S., “Monomeric magnesium catalyzed alkene and alkyne hydroboration”, Chemistry-A European Journal, vol. 28, no. 56, 2022.
N. A. More, Jadhao, N. L., Meshram, R. J., Tambe, P., Salve, R. A., Sabane, J. K., Sawant, S. N., Gajbhiye, V., and Gajbhiye, J. M., “Novel 3-fluoro-4-morpholinoaniline derivatives: synthesis and assessment of anti-cancer activity in breast cancer cells”, Journal of Molecular Structure, vol. 1253, p. 132127, 2022.
N. A. More, Jadhao, N. L., Meshram, R. J., Tambe, P., Salve, R. A., Sabane, J. K., Sawant, S. N., Gajbhiye, V., and Gajbhiye, J. M., “Novel 3-fluoro-4-morpholinoaniline derivatives: synthesis and assessment of anti-cancer activity in breast cancer cells”, Journal of Molecular Structure, vol. 1253, p. 132127, 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.
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.
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.
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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.
S. S. Kanungo, Mishra, A. Kumar, Mhamane, N. B., Marelli, U. Kiran, Kumar, D., and Gopinath, C. S., “Possible fine-tuning of methane activation toward C2 oxygenates by 3d-transition metal-ions doped nano-ceria-zirconia”, Inorganic Chemistry, vol. 61, no. 48, pp. 19577-19587, 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.
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.
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S. P. Chavan, Kalbhor, D. B., and Gonnade, R. G., “Rapid synthesis of the epi-biotin sulfone via tandem S,N-carbonyl migration/aza-michael/spirocyclization and haller-bauer reaction”, ACS Omega, vol. 7, no. 20, pp. 17215-17222, 2022.
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