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Arvind Ramanathan

13PUBLICATIONS

94CO-AUTHORS

Medical molecular engineering of nucleic acids and proteinsCheminformatics and quantitative structure-activity relationshipsBiocatalysis and enzyme technologyComputational ecology and phylogeneticsSemi- and unsupervised learning

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Publications (13)

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|Apr 27, 2026

Mechanistic insights into the association and activation of the SARS-CoV-2 2'-O-Methyltransferase (NSP16).

|Jan 22, 2026

<i>S</i>‑Adenosylhomocysteine Analogs Selectively Suppress Pan-Coronavirus Replication by Inhibition of nsp14 Methyltransferase.

Monica Rosas-Lemus, Sudhakar Athe, George Minasov

|Jan 14, 2026

Sequence-based generative AI design of versatile tryptophan synthases.

Théophile Lambert, Amin Tavakoli, Gautham Dharuman

|Oct 07, 2024

A Deep Learning-Driven Sampling Technique to Explore the Phase Space of an RNA Stem-Loop.

Ayush Gupta, Heng Ma, Arvind Ramanathan

|Sep 11, 2024

Unsupervised learning of progress coordinates during weighted ensemble simulations: Application to millisecond protein folding.

Jeremy Leung, Nicolas Frazee, Alex Brace

|Apr 19, 2023

Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure.

Helgi I Ingólfsson, Harsh Bhatia, Fikret Aydin

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Frequent Collaborators

3 joint publications

Dwight V Nissley

3 joint publications

Daniel W Kneller

3 joint publications

Andrey Kovalevsky

3 joint publications

S Gnanakaran

3 joint publications

Leighton Coates

2 joint publications

Andrew G Stephen

2 joint publications

Cesar A López

2 joint publications

Frank McCormick

2 joint publications

Dhirendra K Simanshu

2 joint publications

Timothy H Tran

Frequent Collaborators

3 joint publications

Dwight V Nissley

3 joint publications

Daniel W Kneller

3 joint publications

Andrey Kovalevsky

3 joint publications

S Gnanakaran

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