Geometric Algebra Models of Proteins for Three-Dimensional Structure Prediction
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34031-4_6
Reference12 articles.
1. AlQuraishi, M.: Machine learning in protein structure prediction. Curr. Opin. Chem. Biol. 1(65), 1–8 (2021)
2. Pearce, R., Zhang, Y.: Deep learning techniques have significantly impacted protein structure prediction and protein design. Curr. Opin. Struct. Biol. 1(68), 194–207 (2021)
3. Jumper, J., et al.: Highly accurate protein structure prediction with AlphaFold. Nature 596(7873), 583–9 (2021)
4. Kryshtafovych, A., Schwede, T., Topf, M., Fidelis, K., Moult, J.: Critical assessment of methods of protein structure prediction (CASP)-round XIV. Proteins Struct. Function Bioinform. 89(12), 1607–1617 (2021)
5. Baek, M., et al.: Accurate prediction of protein structures and interactions using a three-track neural network. Science 373(6557), 871–876 (2021)
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