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Title: Assessment of protein assembly prediction in CASP13

Abstract

We present here the assembly category assessment in the 13th edition of the CASP community-wide experiment. For the second time, protein assemblies constitute an independent assessment category. Compared to the last edition we see a clear uptake in participation, more oligomeric targets released, and consistent, albeit modest, improvement of the predictions quality. Looking at the tertiary structure predictions, we observe that ignoring the oligomeric state of the targets hinders modeling success. We also note that some contact prediction groups successfully predicted homomeric interfacial contacts, though it appears that these predictions were not used for assembly modeling. Homology modeling with sizeable human intervention appears to form the basis of the assembly prediction techniques in this round of CASP. Future developments should anticipate more integrated approaches where subunits are modeled in the context of the assemblies they form.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [3]; ORCiD logo [1]
  1. Univ. of California, San Diego, CA (United States)
  2. European Molecular Biology Lab., Cambridge (United Kingdom)
  3. Univ. of California, Davis, CA (United States)
Publication Date:
Research Org.:
Rutgers Univ., New Brunswick, NJ (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Institute of General Medical Sciences
OSTI Identifier:
1601671
Grant/Contract Number:  
SC0019749; GM100482
Resource Type:
Accepted Manuscript
Journal Name:
Proteins
Additional Journal Information:
Journal Volume: 87; Journal Issue: 12; Journal ID: ISSN 0887-3585
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; CASP; protein assembly; protein interfaces; structure prediction

Citation Formats

Guzenko, Dmytro, Lafita, Aleix, Monastyrskyy, Bohdan, Kryshtafovych, Andriy, and Duarte, Jose M. Assessment of protein assembly prediction in CASP13. United States: N. p., 2019. Web. doi:10.1002/prot.25795.
Guzenko, Dmytro, Lafita, Aleix, Monastyrskyy, Bohdan, Kryshtafovych, Andriy, & Duarte, Jose M. Assessment of protein assembly prediction in CASP13. United States. https://doi.org/10.1002/prot.25795
Guzenko, Dmytro, Lafita, Aleix, Monastyrskyy, Bohdan, Kryshtafovych, Andriy, and Duarte, Jose M. Fri . "Assessment of protein assembly prediction in CASP13". United States. https://doi.org/10.1002/prot.25795. https://www.osti.gov/servlets/purl/1601671.
@article{osti_1601671,
title = {Assessment of protein assembly prediction in CASP13},
author = {Guzenko, Dmytro and Lafita, Aleix and Monastyrskyy, Bohdan and Kryshtafovych, Andriy and Duarte, Jose M.},
abstractNote = {We present here the assembly category assessment in the 13th edition of the CASP community-wide experiment. For the second time, protein assemblies constitute an independent assessment category. Compared to the last edition we see a clear uptake in participation, more oligomeric targets released, and consistent, albeit modest, improvement of the predictions quality. Looking at the tertiary structure predictions, we observe that ignoring the oligomeric state of the targets hinders modeling success. We also note that some contact prediction groups successfully predicted homomeric interfacial contacts, though it appears that these predictions were not used for assembly modeling. Homology modeling with sizeable human intervention appears to form the basis of the assembly prediction techniques in this round of CASP. Future developments should anticipate more integrated approaches where subunits are modeled in the context of the assemblies they form.},
doi = {10.1002/prot.25795},
journal = {Proteins},
number = 12,
volume = 87,
place = {United States},
year = {Fri Aug 02 00:00:00 EDT 2019},
month = {Fri Aug 02 00:00:00 EDT 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 28 works
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Figures / Tables:

FIGURE 1 FIGURE 1: Score correlations. A heat map with correlations among all relevant scores used in the predictioncenter.org web site. The “local” block of scores captures interface features, the “global” block captures features of the whole assembly.

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