| Machine learning approaches to study HIV/AIDS infection: A Review S Kumari, U Chouhan, SK Suryawanshi Biosci. Biotech. Res. Comm 10 (1), 34-43, 2017 | 15 | 2017 |
| Computational approaches for the prediction of antimicrobial potential peptides from Ocimum tenuiflorum SK Suryawanshi, U Chouhan Asian J. Pharm. Clin. Res 11, 398-401, 2018 | 6 | 2018 |
| Application of bioinformatics in the prediction and identification of potential antimicrobial peptides from Curcuma longa SK Suryawanshi, U Chouhan Biosci. Biotech. Res. Comm 9 (2), 220-228, 2016 | 3 | 2016 |
| Insilico Anticancer Peptide Prediction from Curcuma longa SK Suryawanshi, U Chouhan, JK Choudhari Molecular & Cellular Biomechanics 19 ((4)), 191-208., 2022 | 1 | 2022 |
| An in silico approach for prediction of B cell and T cell epitope candidates against Chikungunya virus A Venkatesan, U Chouhan, SK Suryawanshi, JK Choudhari Immunological Medicine 46 (4), 163-174, 2023 | | 2023 |
| A comparative study by using machine learning classifiers to enhance classification and prediction of heart failure disease S Shukla, U Chouhan, SK Suryawanshi, JK Choudhari | | 2022 |
| Trehalose Biosynthesis in Cyanobacterium Anabaena PCC 7120 Under Salt Stress SK Suryawanshi Bonnie Foi Research Journal 1 (1), 18-30, 2011 | | 2011 |
| Amino Acid Composition based SVM model for Predicting Proteins of Asthma in Rattus norvegicus SK Suryawanshi, B Pant, KR Pardasani Bonnie Foi Research Journal 1 (1), 31-37, 2011 | | 2011 |
Dr. Usha ChouhanAssociate Professor, Department of Mathematics, Bioinformatics & Computer Applications, Maulana AzadVerified email at manit.ac.in
