🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Michael M. Henry

Memorial Sloan Kettering Cancer Center

ORCID: 0000-0002-3870-9993

Also affiliated with Kettering University, Open Geospatial Consortium, Free Energy (Slovakia), Open Molecular Software Foundation

Materials ScienceBiochemistry, Genetics and Molecular BiologyEnvironmental SciencePhysics and AstronomyArts and Humanities

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 8 papers. Top paper: “Identifying and overcoming the sampling challenges in relative binding free energy calculations of a model protein:protein complex”.

Identifying and overcoming the sampling challenges in relative binding free energy calculations of a model protein:protein complex

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.07.530278

N/A

0.208DataRank · unranked

3 citations

Dominic A. Rufa, Iván Pulido, Michael M. Henry, Laura E. Rosen, Kevin Hauser +3 more

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

The Journal of Physical Chemistry B(2023)10.1021/acs.jpcb.3c06662

N/A

0DataRank · unranked

495 citations

Raimondas Galvelis, Raúl P. Peláez, Charlles R. A. Abreu, Stephen E. Farr, Emilio Gallicchio +20 more

Identifying and Overcoming the Sampling Challenges in Relative Binding Free Energy Calculations of a Model Protein:Protein Complex

Journal of Chemical Theory and Computation(2023)10.1021/acs.jctc.3c00333

N/A

0DataRank · unranked

22 citations

Dominic A. Rufa, Iván Pulido, Michael M. Henry, Laura E. Rosen, Kevin Hauser +3 more

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

arXiv (Cornell University)(2023)10.48550/arxiv.2310.03121

N/A

0DataRank · unranked

20 citations

Raimondas Galvelis, Raúl P. Peláez, Charlles R. A. Abreu, Stephen E. Farr, Emilio Gallicchio +20 more

Machine-learned molecular mechanics force fields from large-scale quantum chemical data

Chemical Science(2024)10.1039/d4sc00690a

N/A

0DataRank · unranked

40 citations

Anika J. Friedman, Chapin E. Cavender, Pavan Kumar Behara, Iván Pulido, Michael M. Henry +9 more

Konnektor: A Framework for Using Graph Theory to Plan Networks for Free Energy Calculations

Journal of Chemical Information and Modeling(2024)10.1021/acs.jcim.4c01710

N/A

0DataRank · unranked

2 citations

Richard Gowers, Hannah M. Baumann, David A. Swenson, Michael M. Henry, James R. B. Eastwood +3 more

End-to-end differentiable construction of molecular mechanics force fields

Chemical Science(2022)10.1039/d2sc02739a

N/A

0DataRank · unranked

92 citations

Josh Fass, Benjamin Kaminow, John E. Herr, Dominic A. Rufa, Ivy Zhang +6 more

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(2024)10.1021/acs.jctc.3c01298

N/A

0DataRank · unranked

1 citations

Dominic A. Rufa, Iván Pulido, Michael M. Henry, Laura E. Rosen, Kevin Hauser +3 more