7OC9

Target highlights in CASP14: Analysis of models by structure providers.

Alexander, L.T., Lepore, R., Kryshtafovych, A., Adamopoulos, A., Alahuhta, M., Arvin, A.M., Bomble, Y.J., Bottcher, B., Breyton, C., Chiarini, V., Chinnam, N.B., Chiu, W., Fidelis, K., Grinter, R., Gupta, G.D., Hartmann, M.D., Hayes, C.S., Heidebrecht, T., Ilari, A., Joachimiak, A., Kim, Y., Linares, R., Lovering, A.L., Lunin, V.V., Lupas, A.N., Makbul, C., Michalska, K., Moult, J., Mukherjee, P.K., Nutt, W.S., Oliver, S.L., Perrakis, A., Stols, L., Tainer, J.A., Topf, M., Tsutakawa, S.E., Valdivia-Delgado, M., Schwede, T.

(2021) Proteins 89: 1647-1672

• PubMed: 34561912 Search on PubMedSearch on PubMed Central
• DOI: https://doi.org/10.1002/prot.26247
• Primary Citation of Related Structures:  
  7M6B, 7OC9


• PubMed Abstract: 
  

  The biological and functional significance of selected Critical Assessment of Techniques for Protein Structure Prediction 14 (CASP14) targets are described by the authors of the structures. The authors highlight the most relevant features of the target proteins and discuss how well these features were reproduced in the respective submitted predictions. The overall ability to predict three-dimensional structures of proteins has improved remarkably in CASP14, and many difficult targets were modeled with impressive accuracy. For the first time in the history of CASP, the experimentalists not only highlighted that computational models can accurately reproduce the most critical structural features observed in their targets, but also envisaged that models could serve as a guidance for further studies of biologically-relevant properties of proteins.

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Organizational Affiliation: 

Biozentrum, University of Basel, Basel, Switzerland.