@article {46098,
	title = {Use of Plackett-Burman design for enhanced phytase production by Williopsis saturnus NCIM 3298 for applications in animal feed and ethanol production},
	journal = {3 Biotech},
	volume = {9},
	year = {2019},
	month = {JUN},
	pages = {237},
	type = {Article},
	abstract = {<p>Distiller-dried grain solid (DDGS), a co-product of alcohol production, contains cereal grain residues, proteins, and yeast metabolites, which make it suitable in poultry feeding. However, high phytate content of DDGS limits its applicability in poultry feed. In this study, Plackett-Burman design was used to improve cell-bound phytase production by Williopsis saturnus NCIM 3298, and we achieved an enzyme activity of 269IU/g of dry-wet biomass. The effect of this enhanced phytase-displaying yeast strain on hydrolysis of corn phytate and subsequently on ethanol production and DDGS quality was then investigated. Results of saccharification in the presence of phytase showed that reducing sugar content of liquefied mash increased by 11\%, which subsequently improved the ethanol production by 18\% (w/v) (p\&lt;0.01) compared with the control. Notably, phytase treatment decreased the phytate content of corn by 70\% (p\&lt;0.01) compared with the control, thereby improving the availability of free phosphate in fermentation broth and DDGS. Thus, the results obtained suggest that the addition of W. saturnus NCIM 3298 strain has the potential of providing a new source of phytase that would be useful in the feed and ethanol industries.</p>
},
	keywords = {DDGS, Ethanol, Phytase, Plackett-Burman Design, Williopsis saturnus NCIM 3298},
	issn = {2190-572X},
	doi = {10.1007/s13205-019-1764-y},
	author = {Pable, Anupama A. and Shah, Sarah and Kumar, V. Ravi and Khire, Jayant M.}
}
@article {47713,
	title = {On the use of electronegativity and electron affinity based pseudo-molecular field descriptors in developing correlations for quantitative structure-activity relationship modeling of drug activities},
	journal = {Chemical Biology \& Drug Design},
	volume = {98},
	year = {2021},
	month = {AUG},
	pages = {258-269},
	type = {Article},
	abstract = {For quantitative structure-activity relationship (QSAR) modeling in ligand-based drug discovery programs, pseudo-molecular field (PMF) descriptors using intrinsic atomic properties, namely, electronegativity and electron affinity are studied. In combination with partial least squares analysis and Procrustes transformation, these PMF descriptors were employed successfully to develop correlations that predict the activities of target protein inhibitors involved in various diseases (cancer, neurodegenerative disorders, HIV, and malaria). The results show that the present QSAR approach is competitive to existing QSAR models. In order to demonstrate the use of this algorithm, we present results of screening naturally occurring molecules with unknown bioactivities. The pIC(50) predictions can screen molecules that have desirable activity before assessment by docking studies.},
	keywords = {drug discovery, electron affinity, Electronegativity, molecular field descriptors, partial least squares, QSAR},
	issn = {1747-0277},
	doi = {10.1111/cbdd.13895},
	author = {Kunde, Pushkar D. and Ramkumar, Sudha and Kamble, Sanjay P. and RaviKumar, Ameeta and Kulkarni, Bhaskar D. and Kumar, V. Ravi}
}
