DeepMind’s AlphaFold recently demonstrated the potential of deep learning for protein structure prediction. DeepFragLib, a new protein-specific fragment library built using deep neural networks, may have advanced the field to the next stage.
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References
AlQuraishi, M. Bioinformatics https://doi.org/10.1093/bioinformatics/btz422 (2019).
Moult, J., Fidelis, K., Kryshtafovych, A., Schwede, T. & Tramontano, A. Proteins 86, 7–15 (2018).
Wang, T. et al. Nat. Mach. Intell. https://doi.org/10.1038/s42256-019-0075-7 (2019).
Wang, S., Sun, S., Li, Z., Zhang, R. & Xu, J. PLoS Comput. Biol. 13, e1005324 (2017).
Zhou, Y., Zhou, H., Zhang, C. & Liu, S. Cell Biochem. Biophys. 46, 165–174 (2006).
Chandonia, J.-M., Fox, N. K. & Brenner, S. E. J. Mol. Biol. 429, 348–355 (2017).
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Wei, GW. Protein structure prediction beyond AlphaFold. Nat Mach Intell 1, 336–337 (2019). https://doi.org/10.1038/s42256-019-0086-4
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DOI: https://doi.org/10.1038/s42256-019-0086-4
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