Nicholas Bhattacharya

Microsoft (United States) — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

12h-index1.3kcitations18works0.02yr avg
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Research Topics

Genomics and Phylogenetic Studies(8), Machine Learning in Bioinformatics(7), Protein Structure and Dynamics(6), RNA and protein synthesis mechanisms(6), Microbial Natural Products and Biosynthesis(4)

Publications18 total

Deep self-supervised learning for biosynthetic gene cluster detection and product classification
PLoS Computational Biology·2023· 38 citedOpen Access
End-to-end learning of multiple sequence alignments with differentiable Smith–Waterman
Bioinformatics·2022· 38 citedOpen Access
Randomized gates eliminate bias in sort‐seq assays
Protein Science·2022· 13 citedOpen Access
Deep self-supervised learning for biosynthetic gene cluster detection and product classification
2022· 5 citedOpen Access
Deep self-supervised learning for biosynthetic gene cluster detection
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Randomized gates eliminate bias in sort-seq assays
2022· 1 citedOpen Access
Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention
2021· 23 citedOpen Access
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman
2021· 14 citedOpen Access
Transporter genes in biosynthetic gene clusters predict metabolite characteristics and siderophore activity
Genome Research·2020· 63 citedOpen Access
Single Layers of Attention Suffice to Predict Protein Contacts
2020· 35 citedOpen Access
Transporter genes in biosynthetic gene clusters predict metabolite characteristics and siderophore activity
2020· 7 citedOpen Access
Necrotizing enterocolitis is preceded by increased gut bacterial replication, <i>Klebsiella</i> , and fimbriae-encoding bacteria
Science Advances·2019· 175 citedOpen Access
Evaluating Protein Transfer Learning with TAPE
2019· 674 citedOpen Access
Evaluating Protein Transfer Learning with TAPE
PubMed·2019· 80 citedOpen Access
Differences in the path to exit the ribosome across the three domains of life
Nucleic Acids Research·2019· 95 citedOpen Access
Necrotizing enterocolitis is preceded by increased gut bacterial replication, <i>Klebsiella</i> , and fimbriae-encoding bacteria that may stimulate TLR4 receptors
2019· 9 citedOpen Access
Differences in the path to exit the ribosome across the three domains of life
2018· 11 citedOpen Access
Time-Inhomogeneous Branching Processes Conditioned on Non-Extinction
arXiv (Cornell University)·2017· 13 citedOpen Access

Frequent Co-authors

Yun S. Song(10), Roshan Rao(6), Neil Thomas(6), Lorin Crawford(5), Kevin Yang(5), Matthew R. Olm(4), Alexander Crits‐Christoph(4), Jillian F. Banfield(4), Justas Dauparas(4), Peter K. Koo(4), Sergey Ovchinnikov(4), David Baker(4), Carolina Rios-Martinez(3), Yan Duan(2), Xi Chen(2), John Canny(2), Pieter Abbeel(2), Brian Firek(2), Robyn Baker(2), Michael J. Morowitz(2)