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"Children
Sign in to add trainee| Weidong Tian | grad student | (Chemistry Tree) | |
| Yang Zhang | grad student | Georgia Tech (Chemistry Tree) | |
| Antonio Rey | post-doc | (Chemistry Tree) | |
| Marcos R Betancourt | post-doc | 2000-2003 | Georgia Tech (Physics Tree) |
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Publications
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| Davidson RB, Coletti M, Gao M, et al. (2023) Predicted structural proteome of Sphagnum divinum and proteome-scale annotation. Bioinformatics (Oxford, England) |
| Gao M, Nakajima An D, Skolnick J. (2022) Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria. Elife. 11 |
| 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, Gao M, Zhou H, et al. (2021) AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function. Journal of Chemical Information and Modeling |
| Gao M, Skolnick J. (2021) A General Framework to Learn Tertiary Structure for Protein Sequence Characterization. Frontiers in Bioinformatics. 1 |
| Zhou H, Cao H, Skolnick J. (2021) FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening. Journal of Chemical Information and Modeling |
| 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 |
| Gao M, Skolnick J. (2020) A novel sequence alignment algorithm based on deep learning of the protein folding code. Bioinformatics (Oxford, England) |
| 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 |