Bhattacharya, Debswapna

EquiPNAS: improved protein–nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks

Roche, R., Moussad, B., Shuvo, M. H., Tarafder, S., & Bhattacharya, D. (2024) · Nucleic Acids Research

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 85

EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks

Roche, R., Moussad, B., Shuvo, M. H., Tarafder, S., & Bhattacharya, D. (2023) · Nucleic Acids Research

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 84

DisCovER : distance‐ and orientation‐based covariational threading for weakly homologous proteins

Bhattacharya, S., Roche, R., Moussad, B., & Bhattacharya, D. (2022) · Proteins: Structure, Function, and Bioinformatics

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 15

lociPARSE: A Locality-aware Invariant Point Attention Model for Scoring RNA 3D Structures

Tarafder, S., & Bhattacharya, D. (2024) · Journal of Chemical Information and Modeling

RNA and protein synthesis mechanismsProtein Structure and Dynamics

Cited by 11

Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models

Roche, R., Tarafder, S., & Bhattacharya, D. (2024) · Cell Systems

Protein Structure and DynamicsRNA and protein synthesis mechanisms

Cited by 4

To pack or not to pack: revisiting protein side-chain packing in the post-AlphaFold era

Vangaru, S., & Bhattacharya, D. (2025) · Briefings in Bioinformatics

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 0

rrQNet: protein contact map quality estimation by deep evolutionary reconciliation

Roche, R., Bhattacharya, S., Shuvo, M. H., & Bhattacharya, D. (2022) · Proteins Structure Function and Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 0