Jeffrey Skolnick

Affiliations: 
School of Biology, Center for the Study of Systems Biology Georgia Institute of Technology, Atlanta, GA 
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"Jeffrey Skolnick"

Parents

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Marshall Fixman grad student (Chemistry Tree)

Children

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Yang Zhang grad student Georgia Tech (Chemistry Tree)
Marcos R Betancourt post-doc 2000-2003 Gorgia Tech (Physics Tree)
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Publications

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Skolnick J, Gao M. (2020) The role of local versus nonlocal physicochemical restraints in determining protein native structure. Current Opinion in Structural Biology. 68: 1-8
Maisuradze GG, Montelione GT, Rackovsky S, et al. (2020) Tribute to Harold A. Scheraga. The Journal of Physical Chemistry. B
Gao M, Skolnick J. (2020) A novel sequence alignment algorithm based on deep learning of the protein folding code. Bioinformatics (Oxford, England)
Cao H, Jin M, Gao M, et al. (2020) Differential kinase activity of ACVR1 G328V and R206H mutations with implications to possible TβRI cross-talk in diffuse intrinsic pontine glioma. Scientific Reports. 10: 6140
Zhou H, Cao H, Matyunina L, et al. (2020) MEDICASCY: A Machine Learning Approach for Predicting Small Molecule Drug Side Effects, Indications, Efficacy and Mode of Action. Molecular Pharmaceutics
Sweeney-Jones AM, Gagaring K, Antonova-Koch J, et al. (2020) Antimalarial Peptide and Polyketide Natural Products from the Fijian Marine Cyanobacterium . Marine Drugs. 18
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
Cao H, Skolnick J. (2019) Time-resolved x-ray crystallography capture of a slow reaction tetrahydrofolate intermediate. Structural Dynamics (Melville, N.Y.). 6: 024701
Gao M, Zhou H, Skolnick J. (2019) DESTINI: A deep-learning approach to contact-driven protein structure prediction. Scientific Reports. 9: 3514
Cao H, Gao M, Zhou H, et al. (2018) The crystal structure of a tetrahydrofolate-bound dihydrofolate reductase reveals the origin of slow product release. Communications Biology. 1: 226
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