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Expert Opinion on Drug Discovery
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October 10, 2022
Training recurrent neural networks as generative neural networks for molecular structures: how does it impact drug discovery?
Sofia D'Souza, Prema Kv, Seetharaman Balaji
Drug Discovery Today
|
March 16, 2020
Machine learning models for drug-target interactions: current knowledge and future directions
Sofia D'Souza, K V Prema, Seetharaman Balaji
Journal of Biomolecular Structure & Dynamics
|
December 8, 2021
QSAR, molecular docking, molecular dynamics and MM-GBSA approach for identification of prospective benzotriazole-based SARS-CoV 3CL protease inhibitors
Sofia D'Souza, S Balaji, Prema K V
Interdisciplinary Sciences, Computational Life Sciences
|
March 26, 2023
Deep Learning-Based Modeling of Drug-Target Interaction Prediction Incorporating Binding Site Information of Proteins
Sofia D'Souza, K V Prema, S Balaji, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Expert Opinion on Drug Discovery
|
October 10, 2022
Training recurrent neural networks as generative neural networks for molecular structures: how does it impact drug discovery?
Sofia D'Souza, Prema Kv, Seetharaman Balaji
Drug Discovery Today
|
March 16, 2020
Machine learning models for drug-target interactions: current knowledge and future directions
Sofia D'Souza, K V Prema, Seetharaman Balaji
Journal of Biomolecular Structure & Dynamics
|
December 8, 2021
QSAR, molecular docking, molecular dynamics and MM-GBSA approach for identification of prospective benzotriazole-based SARS-CoV 3CL protease inhibitors
Sofia D'Souza, S Balaji, Prema K V
Interdisciplinary Sciences, Computational Life Sciences
|
March 26, 2023
Deep Learning-Based Modeling of Drug-Target Interaction Prediction Incorporating Binding Site Information of Proteins
Sofia D'Souza, K V Prema, S Balaji, et al.
Page
of 1