Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment.
CAPRI
CASP
blind prediction
docking
oligomeric state
protein assemblies
protein complexes
protein-protein interaction
template-based modeling
Journal
Proteins
ISSN: 1097-0134
Titre abrégé: Proteins
Pays: United States
ID NLM: 8700181
Informations de publication
Date de publication:
12 2019
12 2019
Historique:
received:
27
05
2019
revised:
26
09
2019
accepted:
27
09
2019
pubmed:
16
10
2019
medline:
25
6
2020
entrez:
16
10
2019
Statut:
ppublish
Résumé
We present the results for CAPRI Round 46, the third joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of 20 targets including 14 homo-oligomers and 6 heterocomplexes. Eight of the homo-oligomer targets and one heterodimer comprised proteins that could be readily modeled using templates from the Protein Data Bank, often available for the full assembly. The remaining 11 targets comprised 5 homodimers, 3 heterodimers, and two higher-order assemblies. These were more difficult to model, as their prediction mainly involved "ab-initio" docking of subunit models derived from distantly related templates. A total of ~30 CAPRI groups, including 9 automatic servers, submitted on average ~2000 models per target. About 17 groups participated in the CAPRI scoring rounds, offered for most targets, submitting ~170 models per target. The prediction performance, measured by the fraction of models of acceptable quality or higher submitted across all predictors groups, was very good to excellent for the nine easy targets. Poorer performance was achieved by predictors for the 11 difficult targets, with medium and high quality models submitted for only 3 of these targets. A similar performance "gap" was displayed by scorer groups, highlighting yet again the unmet challenge of modeling the conformational changes of the protein components that occur upon binding or that must be accounted for in template-based modeling. Our analysis also indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.
Identifiants
pubmed: 31612567
doi: 10.1002/prot.25838
pmc: PMC7274794
mid: NIHMS1591366
doi:
Substances chimiques
Proteins
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1200-1221Subventions
Organisme : NIH HHS
ID : R35GM124952
Pays : United States
Organisme : NIH HHS
ID : R01GM074255
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM074255
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM109980
Pays : United States
Organisme : NIGMS NIH HHS
ID : R21 GM127952
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM123055
Pays : United States
Organisme : NIH HHS
ID : R01GM123055
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM118078
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM124952
Pays : United States
Organisme : Cancer Research UK
ID : FC001003
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : FC001003
Pays : United Kingdom
Organisme : NIGMS NIH HHS
ID : R01 GM093123
Pays : United States
Organisme : NIAID NIH HHS
ID : T32 AI125186
Pays : United States
Organisme : Medical Research Council
ID : FC001003
Pays : United Kingdom
Informations de copyright
© 2019 Wiley Periodicals, Inc.
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