Mu Gao, Ph.D.

2003 University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
theoretical biophysics
"Mu Gao"
Mean distance: 8.65


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Klaus Schulten grad student 2003 UIUC
 (Molecular dynamics studies of mechanical proteins.)
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Gao M, Nakajima An D, Parks JM, et al. (2022) AF2Complex predicts direct physical interactions in multimeric proteins with deep learning. Nature Communications. 13: 1744
Skolnick J, Zhou H, Gao M. (2019) On the possible origin of protein homochirality, structure, and biochemical function. Proceedings of the National Academy of Sciences of the United States of America
Gao M, Zhou H, Skolnick J. (2019) DESTINI: A deep-learning approach to contact-driven protein structure prediction. Scientific Reports. 9: 3514
Zhou H, Gao M, Skolnick J. (2016) ENTPRISE: An Algorithm for Predicting Human Disease-Associated Amino Acid Substitutions from Sequence Entropy and Predicted Protein Structures. Plos One. 11: e0150965
Skolnick J, Gao M, Zhou H. (2016) How special is the biochemical function of native proteins? F1000research. 5
Liu Y, Yang Y, Gao M, et al. (2015) Tailoring Thermodynamics and Kinetics for Hydrogen Storage in Complex Hydrides towards Applications. Chemical Record (New York, N.Y.)
Gao M, Zhou H, Skolnick J. (2015) Insights into Disease-Associated Mutations in the Human Proteome through Protein Structural Analysis. Structure (London, England : 1993)
Skolnick J, Gao M, Roy A, et al. (2015) Implications of the small number of distinct ligand binding pockets in proteins for drug discovery, evolution and biochemical function. Bioorganic & Medicinal Chemistry Letters. 25: 1163-70
Skolnick J, Gao M, Zhou H. (2014) On the role of physics and evolution in dictating protein structure and function. Israel Journal of Chemistry. 54: 1176-1188
Gao M, Skolnick J. (2013) A comprehensive survey of small-molecule binding pockets in proteins. Plos Computational Biology. 9: e1003302
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