S
Sowmya Ramaswamy Krishnan
Researcher at Tata Consultancy Services
Publications - 11
Citations - 137
Sowmya Ramaswamy Krishnan is an academic researcher from Tata Consultancy Services. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 3, co-authored 5 publications receiving 50 citations.
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Journal ArticleDOI
De novo design of new chemical entities for SARS-CoV-2 using artificial intelligence.
TL;DR: De Novo Design of New Chemical Entities (NCEs) for SARS-CoV-2 Using Artificial Intelligence
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Accelerating De Novo Drug Design against Novel Proteins Using Deep Learning.
TL;DR: In this article, the potential of deep learning and molecular modeling approaches was leveraged to develop a drug design pipeline, which can be useful for cases where there is limited or no availability of target-specific ligand datasets.
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De Novo Structure-Based Drug Design Using Deep Learning.
Sowmya Ramaswamy Krishnan,Navneet Bung,Sarveswara Rao Vangala,Rajgopal Srinivasan,Gopalakrishnan Bulusu,Arijit Roy +5 more
TL;DR: This work proposes a deep learning-based method, where the knowledge of the active site structure of the target protein is sufficient to design new molecules, and validated it against two well-studied proteins.
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An In Silico Explainable Multiparameter Optimization Approach for De Novo Drug Design against Proteins from the Central Nervous System
TL;DR: A deep learning-based de novo drug design method that can design novel small molecules by optimizing target specificity as well as multiple parameters (including late-stage parameters) in a single step is developed.
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A network-based approach reveals novel invasion and Maurer's clefts-related proteins in Plasmodium falciparum
TL;DR: It is shown that the current approach can annotate conserved proteins with unknown function, which can help build a mechanistic model for disease pathogenesis, which will be useful in identifying new drug targets.