Applying and improving AlphaFold at CASP14

We describe the operation and improvement of AlphaFold, the system that was entered by the team AlphaFold2 to the “human” category in the 14th Critical Assessment of Protein Structure Prediction (CASP14). The AlphaFold system entered in CASP14 is entirely different to the one entered in CASP13. It u...

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Veröffentlicht in:	Proteins, structure, function, and bioinformatics Jg. 89; H. 12; S. 1711 - 1721
Hauptverfasser:	Jumper, John, Evans, Richard, Pritzel, Alexander, Green, Tim, Figurnov, Michael, Ronneberger, Olaf, Tunyasuvunakool, Kathryn, Bates, Russ, Žídek, Augustin, Potapenko, Anna, Bridgland, Alex, Meyer, Clemens, Kohl, Simon A. A., Ballard, Andrew J., Cowie, Andrew, Romera‐Paredes, Bernardino, Nikolov, Stanislav, Jain, Rishub, Adler, Jonas, Back, Trevor, Petersen, Stig, Reiman, David, Clancy, Ellen, Zielinski, Michal, Steinegger, Martin, Pacholska, Michalina, Berghammer, Tamas, Silver, David, Vinyals, Oriol, Senior, Andrew W., Kavukcuoglu, Koray, Kohli, Pushmeet, Hassabis, Demis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.12.2021 Wiley Subscription Services, Inc
Schlagworte:	AlphaFold Amino Acid Sequence Amino acids Artificial neural networks CASP Computational Biology Deep Learning Homology machine learning Models, Molecular Neural networks Neural Networks, Computer Predictions Protein Conformation Protein Folding Protein structure protein structure prediction Proteins Proteins - chemistry Proteins - metabolism Sequence Analysis, Protein Software deep learning CASP machine learning protein structure prediction AlphaFold
ISSN:	0887-3585, 1097-0134, 1097-0134
Online-Zugang:	Volltext
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