Sukrit Singh, Ph.D.

Affiliations: 
2010-2020 Washington University, Saint Louis, St. Louis, MO 
 2021- Memorial Sloan Kettering Cancer Center, Rockville Centre, NY, United States 
Area:
Biochemistry, Biophysics
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Publications

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Singh S, Gapsys V, Aldeghi M, et al. (2025) Prospective evaluation of structure-based simulations reveal their ability to predict the impact of kinase mutations on inhibitor binding. Biorxiv : the Preprint Server For Biology
Singh S, Gapsys V, Aldeghi M, et al. (2025) Prospective Evaluation of Structure-Based Simulations Reveal Their Ability to Predict the Impact of Kinase Mutations on Inhibitor Binding. The Journal of Physical Chemistry. B
de Castro RL, Rodríguez-Guerra J, Schaller D, et al. (2024) Lessons learned during the journey of data: from experiment to model for predicting kinase affinity, selectivity, polypharmacology, and resistance. Biorxiv : the Preprint Server For Biology
Todd TD, Vithani N, Singh S, et al. (2024) Stabilization of interdomain closure by a G protein inhibitor. Proceedings of the National Academy of Sciences of the United States of America. 121: e2311711121
Vithani N, Todd TD, Singh S, et al. (2024) G Protein Activation Occurs via a Largely Universal Mechanism. The Journal of Physical Chemistry. B
Zhang I, Rufa DA, Pulido I, et al. (2024) Correction to Identifying and Overcoming the Sampling Challenges in Relative Binding Free Energy Calculations of a Model Protein:Protein Complex. Journal of Chemical Theory and Computation
Eastman P, Galvelis R, Peláez RP, et al. (2023) OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The Journal of Physical Chemistry. B
Outhwaite IR, Singh S, Berger BT, et al. (2023) Death by a thousand cuts through kinase inhibitor combinations that maximize selectivity and enable rational multitargeting. Elife. 12
Boby ML, Fearon D, Ferla M, et al. (2023) Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors. Science (New York, N.Y.). 382: eabo7201
Nigam A, Hurley MFD, Li F, et al. (2023) Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors. Biorxiv : the Preprint Server For Biology
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