Zhou, Hongyi

Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction

Zhou, H., & Zhou, Y. (2002) · Protein Science

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 902

AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function

Skolnick, J., Gao, M., Zhou, H., & Singh, S. (2021) · Journal of Chemical Information and Modeling

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 251

A physical reference state unifies the structure-derived potential of mean force for protein folding and binding

Liu, S., Zhang, C., Zhou, H., & Zhou, Y. (2004) · Proteins Structure Function and Bioinformatics

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 193

Comprehensive prediction of drug-protein interactions and side effects for the human proteome

Zhou, H., Gao, M., & Skolnick, J. (2015) · Scientific Reports

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 138

Insights into disease-associated mutations in the human proteome through protein structural analysis

Gao, M., Zhou, H., & Skolnick, J. (2015) · Structure

Genomics and Rare DiseasesProtein Structure and Dynamics

Cited by 113

DESTINI: A deep-learning approach to contact-driven protein structure prediction

Gao, M., Zhou, H., & Skolnick, J. (2019) · Scientific Reports

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 61

On the possible origin of protein homochirality, structure, and biochemical function

Skolnick, J., Zhou, H., & Gao, M. (2019) · Proceedings of the National Academy of Sciences

Origins and Evolution of LifeRNA and protein synthesis mechanisms

Cited by 45

FINDSITEcomb2.0: A New Approach for Virtual Ligand Screening of Proteins and Virtual Target Screening of Biomolecules

Zhou, H., Cao, H., & Skolnick, J. (2018) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 39

MEDICASCY: A Machine Learning Approach for Predicting Small-Molecule Drug Side Effects, Indications, Efficacy, and Modes of Action

Zhou, H., Cao, H., Matyunina, L., Shelby, M., Cassels, L., McDonald, J. F., & Skolnick, J. (2020) · Molecular Pharmaceutics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 39

Further Evidence for the Likely Completeness of the Library of Solved Single Domain Protein Structures

Skolnick, J., Zhou, H., & Brylinski, M. (2012) · The Journal of Physical Chemistry B

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 35

FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening

Zhou, H., Cao, H., & Skolnick, J. (2021) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsProtein Degradation and Inhibitors

Cited by 32