Author

Nagesh B E

Tata Institute of Fundamental Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:contrastive learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Assay:multiome· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Jagannath MondaliD· 2 shared Subinoy AdhikariiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBiophysics

Jagannath MondalORCID

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2 papers

Recent·Most cited

How Generative Models Approach Molecular Conformational Sampling

Nagesh B E, Jagannath Mondal

This study compares diffusion and rectified-flow models in generating molecular conformations, showing diffusion models better capture ensemble structure while rectified-flow requires more expressive architectures.

bioRxiv · Apr 14, 2026 · PreprintBiophysics

Fast Adversarial Generation of Molecular Dynamics Trajectories with Kinetic Fidelity

Nagesh B E, Subinoy Adhikari, Jagannath Mondal

This paper introduces a GAN-based method to generate molecular dynamics trajectories with kinetic fidelity, enabling efficient sampling of rare events in complex systems.

bioRxiv · Jan 22, 2026 · PreprintBiophysics