Debswapna Bhattacharya

Virginia Tech — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

19h-index1.8kcitations83works5.72yr avg
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Research Topics

Protein Structure and Dynamics(56), Enzyme Structure and Function(32), Machine Learning in Bioinformatics(28), RNA and protein synthesis mechanisms(21), Microbial Metabolic Engineering and Bioproduction(11)

Publications83 total

Protein–Protein Interaction Site Prediction via EquiPPIS and Its Application in Studying Viral Replication
Methods in molecular biology·2025
PARSEbp: Pairwise Agreement-based RNA Scoring with Emphasis on Base Pairings
2025Open Access
Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models
Cell Systems·2025· 1 citedOpen Access
NEFFy: A Versatile Tool for Computing the Number of Effective Sequences
Bioinformatics·2025· 7 citedOpen Access
To pack or not to pack: revisiting protein side-chain packing in the post-AlphaFold era
Briefings in Bioinformatics·2025Open Access
To pack or not to pack: revisiting protein side-chain packing in the post‐AlphaFold era
2025Open Access
RNAbpFlow: Base pair-augmented SE(3)-flow matching for conditional RNA 3D structure generation
2025· 2 citedOpen Access
Advances in Language-Model-Informed Protein–Nucleic Acid Binding Site Prediction
Methods in molecular biology·2025
EquiRank: Improved protein-protein interface quality estimation using protein language-model-informed equivariant graph neural networks
Computational and Structural Biotechnology Journal·2024Open Access
NEFFy: A Versatile Tool for Computing the Number of Effective Sequences
2024· 4 citedOpen Access
lociPARSE: A Locality-aware Invariant Point Attention Model for Scoring RNA 3D Structures
Journal of Chemical Information and Modeling·2024· 9 citedOpen Access
Sifting through the noise: A survey of diffusion probabilistic models and their applications to biomolecules
Journal of Molecular Biology·2024· 2 cited
Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models
2024· 1 citedOpen Access
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules
arXiv (Cornell University)·2024Open Access
EquiPNAS: improved protein–nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks
Nucleic Acids Research·2024· 65 citedOpen Access
lociPARSE: a locality-aware invariant point attention model for scoring RNA 3D structures
Faculty of 1000 Research Ltd·2024Open Access
The landscape of RNA 3D structure modeling with transformer networks
Biology Methods and Protocols·2024· 6 citedOpen Access
lociPARSE: a locality-aware invariant point attention model for scoring RNA 3D structures
2023· 2 citedOpen Access
EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks
2023· 3 citedOpen Access
E(3) equivariant graph neural networks for robust and accurate protein-protein interaction site prediction
PLoS Computational Biology·2023· 28 citedOpen Access
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Frequent Co-authors

Jianlin Cheng(17), Rahmatullah Roche(15), Md Hossain Shuvo(12), Renzhi Cao(10), Sutanu Bhattacharya(9), Badri Adhikari(8), Sumit Tarafder(8), Bernard Moussad(7), Jie Hou(5), Jilong Li(5), Mohimenul Karim(3), Jackson Nowotny(2), Rahul Alapati(2), Maryam Haghani(2), T. M. Murali(2), Da Yan(2), Jake Y. Chen(2), Miao Sun(1), Muhammad Gulfam(1), Chen Keasar(1)