Roshan Rao

Apollo Hospitals — India

Biochemistry, Genetics and Molecular Biology · Life Sciences

16h-index7.8kcitations32works156.02yr avg
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Research Topics

Machine Learning in Bioinformatics(16), Genomics and Phylogenetic Studies(13), RNA and protein synthesis mechanisms(12), Protein Structure and Dynamics(10), Advanced Neural Network Applications(3)

Publications32 total

Ivabradine: Bridging Molecular Mechanisms and Clinical Practice in Cardiac Care
Indian Journal of Clinical Cardiology·2025Open Access
Cnidaria herd optimized fuzzy C-means clustering enabled deep learning model for lung nodule detection
Frontiers in Physiology·2025· 1 citedOpen Access
Simulating 500 million years of evolution with a language model
Science·2025· 439 cited
Simulating 500 million years of evolution with a language model
2024· 185 citedOpen Access
Effectiveness and Safety of Prasugrel/Clopidogrel Therapy Versus Clopidogrel Therapy in Patients Who Have Undergone Percutaneous Coronary Intervention: A Real-World Experience in Central India
Cardiovascular revascularization medicine·2023· 1 cited
Evolutionary-scale prediction of atomic-level protein structure with a language model
Science·2023· 4.2k citedOpen Access
CRT-101.14 Effectiveness and Safety of Prasugrel/Clopidogrel Therapy Versus Clopidogrel Therapy in Patients Who Have Undergone Percutaneous Coronary Intervention: A Real-World Experience in Central India
JACC: Cardiovascular Interventions·2023
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features
mAbs·2023· 46 citedOpen Access
Shock Wave Intravascular Lithotripsy: Shock the Rock
Indian Journal of Cardiovascular Disease in Women·2023· 2 citedOpen Access
A high-level programming language for generative protein design
2022· 59 citedOpen Access
End-to-end learning of multiple sequence alignments with differentiable Smith–Waterman
Bioinformatics·2022· 38 citedOpen Access
ESM Atlas v0 random sample of high confidence predicted protein structures
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
ESM Atlas v0 representative random sample of predicted protein structures
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
ESM Atlas v0 representative random sample of predicted protein structures
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
ESM Atlas v0 random sample of high confidence predicted protein structures
2022Open Access
Evolutionary-scale prediction of atomic level protein structure with a language model
2022· 522 citedOpen Access
Towards generalizable prediction of antibody thermostability using machine learning on sequence and structure features
2022· 3 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
MSA Transformer
2021· 9 cited
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Frequent Co-authors

Tom Sercu(14), Alexander Rives(14), Robert Verkuil(11), Zeming Lin(9), Salvatore Candido(9), Halil Akin(8), John Canny(8), Brian Hie(7), Nikita Smetanin(7), Ori Kabeli(7), Neil Thomas(7), Zhongkai Zhu(6), Wenting Lu(6), Yaniv Shmueli(6), Allan dos Santos Costa(6), Maryam Fazel-Zarandi(6), Nicholas Bhattacharya(6), Sergey Ovchinnikov(6), Joshua Meier(5), Pieter Abbeel(4)