Tertiary structure assessment at CASP15.
CASP15
machine learning
molecular replacement
protein modelling
protein structure prediction
structural bioinformatics
Journal
Proteins
ISSN: 1097-0134
Titre abrégé: Proteins
Pays: United States
ID NLM: 8700181
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
revised:
25
08
2023
received:
24
05
2023
accepted:
07
09
2023
pmc-release:
01
06
2024
medline:
24
11
2023
pubmed:
25
9
2023
entrez:
25
9
2023
Statut:
ppublish
Résumé
The results of tertiary structure assessment at CASP15 are reported. For the first time, recognizing the outstanding performance of AlphaFold 2 (AF2) at CASP14, all single-chain predictions were assessed together, irrespective of whether a template was available. At CASP15, there was no single stand-out group, with most of the best-scoring groups-led by PEZYFoldings, UM-TBM, and Yang Server-employing AF2 in one way or another. Many top groups paid special attention to generating deep Multiple Sequence Alignments (MSAs) and testing variant MSAs, thereby allowing them to successfully address some of the hardest targets. Such difficult targets, as well as lacking templates, were typically proteins with few homologues. Local divergence between prediction and target correlated with localization at crystal lattice or chain interfaces, and with regions exhibiting high B-factor factors in crystal structure targets, and should not necessarily be considered as representing error in the prediction. However, analysis of exposed and buried side chain accuracy showed room for improvement even in the latter. Nevertheless, a majority of groups produced high-quality predictions for most targets, which are valuable for experimental structure determination, functional analysis, and many other tasks across biology. These include those applying methods similar to those used to generate major resources such as the AlphaFold Protein Structure Database and the ESM Metagenomic atlas: the confidence estimates of the former were also notably accurate.
Identifiants
pubmed: 37746927
doi: 10.1002/prot.26593
pmc: PMC10792517
mid: NIHMS1931324
doi:
Substances chimiques
Furylfuramide
054NR2135Y
Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1616-1635Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM100482
Pays : United States
Organisme : Biotechnology and Biological Sciences Research Council
Pays : United Kingdom
Informations de copyright
© 2023 The Authors. Proteins: Structure, Function, and Bioinformatics published by Wiley Periodicals LLC.
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