| Machine learning models for drug–target interactions: current knowledge and future directions S D’Souza, KV Prema, S Balaji Drug Discovery Today 25 (4), 748-756, 2020 | 172 | 2020 |
| Deep learning-based modeling of drug–target interaction prediction incorporating binding site information of proteins S D’Souza, KV Prema, S Balaji, R Shah Interdisciplinary Sciences: Computational Life Sciences 15 (2), 306-315, 2023 | 16 | 2023 |
| Machine learning in drug–target interaction prediction: current state and future directions S D’Souza, KV Prema, S Balaji Drug Discov. Today 25, 748-756, 2020 | 9 | 2020 |
| Training recurrent neural networks as generative neural networks for molecular structures: how does it impact drug discovery? S D’Souza, P Kv, S Balaji Expert Opinion on Drug Discovery 17 (10), 1071-1079, 2022 | 8 | 2022 |
| Analysis of MapReduce scheduling and its improvements in cloud environment S D'Souza, K Chandrasekaran 2015 IEEE International Conference on Signal Processing, Informatics …, 2015 | 6 | 2015 |
| Feature selection and modeling using statistical and machine learning methods S D'souza, KV Prema, S Balaji 2020 IEEE International Conference on Distributed Computing, VLSI …, 2020 | 3 | 2020 |
| Hierarchical modeling of binding affinity prediction using machine learningtechniques S D’Souza, KV Prema, S Balaji 2021 IEEE International Conference on Distributed Computing, VLSI …, 2021 | 2 | 2021 |
| QSAR, molecular docking, molecular dynamics and MM-GBSA approach for identification of prospective benzotriazole-based SARS-CoV 3CL protease inhibitors S D’Souza, S Balaji, P KV Journal of Biomolecular Structure and Dynamics 40 (24), 14247-14261, 2022 | 1 | 2022 |
| Empirical analysis of mapreduce job scheduling with respect to energy consumption of clusters S D'souza, KV Prema 2019 IEEE International Conference on Distributed Computing, VLSI …, 2019 | 1 | 2019 |
| Predicting Bioactivity Using Chemical Fingerprint Models & Cell Morphology with Deep Neural Networks SR J Joseph, SM Crasta, SE Dsouza, E Lobo, HS Shrisha IEEE International Conference on Distributed Computing, VLSI, Electrical …, 2024 | | 2024 |
| A Combinatorial Computational Approach for Drug Discovery Against AIDS: Machine Learning and Proteochemometrics S D’souza, PK V, S Balaji Global Virology III: Virology in the 21st Century, 345-359, 2019 | | 2019 |
Prema K.V.Professor & Head, Dept. of Computer Science & Engg., MIT, MAHE, BengaluruПодтвержден адрес электронной почты в домене manipal.edu
