Publications

EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks
Protein language models (pLMs) trained on a large corpus of protein sequences have shown unprecedented scalability and broad …
Rahmatullah Roche, Bernard Moussad, Md Hossain Shuvo, Sumit Tarafder, Debswapna Bhattacharya
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E (3) equivariant graph neural networks for robust and accurate protein-protein interaction site prediction
Artificial intelligence-powered protein structure prediction methods have led to a paradigm-shift in computational structural biology, …
Rahmatullah Roche, Bernard Moussad, Md Hossain Shuvo, Debswapna Bhattacharya
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The transformative power of transformers in protein structure prediction
Transformer neural networks have revolutionized structural biology with the ability to predict protein structures at unprecedented high …
Bernard Moussad, Rahmatullah Roche, Debswapna Bhattacharya
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Contact-Assisted Threading in Low-Homology Protein Modeling
The ability to successfully predict the three-dimensional structure of a protein from its amino acid sequence has made considerable …
Sutanu Bhattacharya, Rahmatullah Roche, Md Hossain Shuvo, Bernard Moussad, Debswapna Bhattacharya
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DisCovER: distance‐and orientation‐based covariational threading for weakly homologous proteins
Threading a query protein sequence onto a library of weakly homologous structural templates remains challenging, even when …
Sutanu Bhattacharya, Rahmatullah Roche, Bernard Moussad, Debswapna Bhattacharya
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