| Homology modeling and docking studies of TMPRSS2 with experimentally known inhibitors Camostat mesylate, Nafamostat and Bromhexine hydrochloride to control SARS-Coronavirus-2 K Sonawane, SS Barale, MJ Dhanavade, SR Waghmare, NH Nadaf, ... | 43 | 2020 |
| Molecular modeling approach to explore the role of cathepsin B from Hordeum vulgare in the degradation of Aβ peptides MJ Dhanavade, RS Parulekar, SA Kamble, KD Sonawane Molecular bioSystems 12 (1), 162-168, 2016 | 41 | 2016 |
| Structural insights and inhibition mechanism of TMPRSS2 by experimentally known inhibitors Camostat mesylate, Nafamostat and Bromhexine hydrochloride to control SARS … KD Sonawane, SS Barale, MJ Dhanavade, SR Waghmare, NH Nadaf, ... Informatics in medicine unlocked 24, 100597, 2021 | 33 | 2021 |
| Identification of novel leads as potent inhibitors of HDAC3 using ligand-based pharmacophore modeling and MD simulation N Kumbhar, S Nimal, S Barale, S Kamble, R Bavi, K Sonawane, ... Scientific Reports 12 (1), 1712, 2022 | 20 | 2022 |
| Homology modeling and docking studies of TMPRSS2 with experimentally known inhibitors Camostat mesylate K Sonawane, SS Barale, MJ Dhanavade, SR Waghmare, NH Nadaf, ... Nafamostat and Bromhexine hydrochloride to control SARS-Coronavirus-2, 2020 | 18 | 2020 |
| Molecular insights into the inhibition of early stages of Aβ peptide aggregation and destabilization of Alzheimer's Aβ protofibril by dipeptide D-Trp-Aib: A molecular modelling … AA Mohammed, SS Barale, SA Kamble, SB Paymal, KD Sonawane International Journal of Biological Macromolecules 242, 124880, 2023 | 14 | 2023 |
| Temperature prediction of heat sources using machine learning techniques S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar, S Kamble Heat Transfer 50 (8), 7817-7838, 2021 | 12 | 2021 |
| Structural significance of neprylysin from Streptococcus suis GZ1 in the degradation of Aβ peptides, a causative agent in Alzheimer's disease S Kamble, S Barale, M Dhanavade, K Sonawane Computers in Biology and Medicine 136, 104691, 2021 | 10 | 2021 |
| Evaluation of drug candidature: In silico ADMET, binding interactions with CDK7 and normal cell line studies of potentially anti-breast cancer enamidines P Bansode, R Anantacharya, M Dhanavade, S Kamble, S Barale, ... Computational Biology and Chemistry 83, 107124, 2019 | 8 | 2019 |
| Effective computational approach for optimization of temperature on printed circuit board S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar, S Kamble Journal of The Institution of Engineers (India): Series C 103 (4), 763-776, 2022 | 5 | 2022 |
| Synthesis, characterization and biological evaluation of novel imidazo thiazole chalcones as antioxidant agent V Sonawane, D Hiwarale, B Sonawane, S Kamble, K Sonawane, ... Int. J. Pharm. Sci. Res 10, 2439-2446, 2019 | 5 | 2019 |
| Structural insights into the potential binding sites of Cathepsin D using molecular modelling techniques SA Kamble, SS Barale, AA Mohammed, SB Paymal, NM Naik, ... Amino Acids 56 (1), 33, 2024 | 3 | 2024 |
| Molecular modeling insights into metal-organic frameworks (MOFs) as a potential matrix for immobilization of lipase: an in silico study PJ Patil, SA Kamble, MJ Dhanavade, X Liang, C Zhang, X Li Biology 12 (8), 1051, 2023 | 3 | 2023 |
| A survey on ‘Apache Storm performance optimization using tuning of parameters’ T Pattanshetti, S Kamble, A Yalgude, P Patil 2020 11th International Conference on Computing, Communication and …, 2020 | 1 | 2020 |
| Studies On Amyloid Beta Peptide Degradation And Inhibition Of Aggregation Using Cathepsin D And Other Proteins SA Kamble Kolhapur, 0 | | |
| XG Boost Algorithm for Temperature prediction of IC chips: A Machine Learning Approach S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar, S Kamble | | |
