Author

Lovekesh Vig

Tata Consultancy Services (India)ORCID 0000-0001-9834-3308Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:large language model· 1

Frequent Co-Authors

Arijit RoyiD· 2 shared Ashwin SrinivasaniD· 2 shared Tirtharaj DashiD· 2 shared Raviprasad AduriiD· 1 shared Shreyas Bhat BrahmavariD· 1 shared Sowmya Ramaswamy KrishnaniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Arijit RoyORCID

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2 papers

Recent·Most cited

BioinformaticsProceedings of the AAAI Conference on Artificial IntelligencePeer-reviewedMar 24, 2024

Generating Novel Leads for Drug Discovery using LLMs with Logical Feedback

Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash…·Raviprasad Aduri

This paper introduces LMLF, a method using logical feedback to guide LLMs in generating drug leads for specific targets, showing improved binding affinities and potential novelty.

17 citationstop 1%

deep learninglarge language model

𝕏 PostBluesky

Molecular BiologyLecture notes in computer sciencePeer-reviewedJan 1, 2022

Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design

Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy

The paper combines deep neural networks and Inductive Logic Programming to generate potential inhibitors for targets with limited data, using domain knowledge to improve molecule generation.

8 citations

deep learningdrug response / drug discovery

𝕏 PostBluesky