Matthew P. Repasky - Concepedia

Author

Matthew P. Repasky

Schrodinger (United States)ORCID

Also Known As

Matthew P Repasky, Matthew P. Repasky

Publications

19.9K

Citations

H-Index

Concepts

All Affiliations

Schrodinger (United States)Yale University Columbia University University of California, San Francisco

About

Matthew P. Repasky is an author at Schrodinger (United States) specializing in engineering, chemistry, and computational chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	1.1K
2	Natural Sciences	6	6	730
3	Medicine	4	4	698
4	Biochemistry	2	2	313
5	Management	1	1	71

Matthew P. Repasky

Publications

18.4K

Citations

H-Index

Page 1

	Year	Citations
Glide: A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy Richard A. Friesner, Jay L. Banks, Robert B. Murphy, Journal of Medicinal Chemistry	2004	9.6K
Extra Precision Glide: Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein−Ligand Complexes Richard A. Friesner, Robert B. Murphy, Matthew P. Repasky, Journal of Medicinal Chemistry	2006	6.7K
Efficient Exploration of Chemical Space with Docking and Deep Learning Yang Ying, Kun Yao, Matthew P. Repasky, Journal of Chemical Theory and Computation EngineeringMachine LearningHit IdentificationMolecular BiologyComputational Chemistry	2021	366
PDDG/PM3 and PDDG/MNDO: Improved semiempirical methods Matthew P. Repasky, Jayaraman Chandrasekhar, William L. Jorgensen Journal of Computational Chemistry Numerical AnalysisEngineeringImproved Semiempirical MethodsComputational ChemistryChemistry	2002	294
Epik: p <i>K</i> <sub>a</sub> and Protonation State Prediction through Machine Learning Ryne C. Johnston, Kun Yao, Zachary Kaplan, Journal of Chemical Theory and Computation	2023	265
Flexible Ligand Docking with Glide Matthew P. Repasky, Mee Shelley, Richard A. Friesner Current Protocols in Bioinformatics BiochemistryProtein FoldingMedicineNatural SciencesRational Drug Design	2007	247
Autoqsar: An Automated Machine Learning Tool for Best-Practice Quantitative Structure–Activity Relationship Modeling Steven L. Dixon, Jianxin Duan, Ethan Smith, Future Medicinal Chemistry	2016	181
Docking performance of the glide program as evaluated on the Astex and DUD datasets: a complete set of glide SP results and selected results for a new scoring function integrating WaterMap and glide Matthew P. Repasky, Robert B. Murphy, Jay L. Banks, Journal of Computer-Aided Molecular Design EngineeringData ScienceAerospace EngineeringComputer EngineeringGlide Sp Results	2012	154
Benchmarking Refined and Unrefined AlphaFold2 Structures for Hit Discovery Yuqi Zhang, Márton Vass, Da Shi, Journal of Chemical Information and Modeling	2023	106
WScore: A Flexible and Accurate Treatment of Explicit Water Molecules in Ligand–Receptor Docking Robert B. Murphy, Matthew P. Repasky, Jeremy R. Greenwood, Journal of Medicinal Chemistry	2016	93

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