Yang Zhang
Affiliations: | computational biology | University of Michigan, Ann Arbor, Ann Arbor, MI |
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Parents
Sign in to add mentor| Jeffrey Skolnick | grad student | Georgia Tech (Computational Biology Tree) |
Children
Sign in to add trainee| Wallace Chan | grad student | University of Michigan | |
| Jeffrey R. Brender | post-doc | University of Michigan |
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Publications
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| Zulfiqar H, Guo Z, Ahmad RM, et al. (2024) Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings. Frontiers in Medicine. 10: 1291352 |
| Liu Z, Zhang C, Zhang Q, et al. (2024) TM-search: An Efficient and Effective Tool for Protein Structure Database Search. Journal of Chemical Information and Modeling |
| Zheng W, Wuyun Q, Li Y, et al. (2024) Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature Methods |
| Zheng W, Wuyun Q, Freddolino PL, et al. (2023) Integrating deep learning, threading alignments, and a multi-MSA strategy for high-quality protein monomer and complex structure prediction in CASP15. Proteins |
| Zhang C, Zhang X, Freddolino PL, et al. (2023) BioLiP2: an updated structure database for biologically relevant ligand-protein interactions. Nucleic Acids Research |
| Pearce R, Huang X, Omenn GS, et al. (2023) De novo protein fold design through sequence-independent fragment assembly simulations. Proceedings of the National Academy of Sciences of the United States of America. 120: e2208275120 |
| Zhu YH, Zhang C, Yu DJ, et al. (2022) Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction. Plos Computational Biology. 18: e1010793 |
| LaLone CA, Blatz DJ, Jensen MA, et al. (2022) From Protein Sequence to Structure: The Next Frontier in Cross Species Extrapolation for Chemical Safety Evaluations. Environmental Toxicology and Chemistry |
| Pearce R, Li Y, Omenn GS, et al. (2022) Fast and accurate Ab Initio Protein structure prediction using deep learning potentials. Plos Computational Biology. 18: e1010539 |
| Sun Y, Jiao Y, Shi C, et al. (2022) Deep learning-based molecular dynamics simulation for structure-based drug design against SARS-CoV-2. Computational and Structural Biotechnology Journal |