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Assessment of protein assembly prediction in CASP13.
Guzenko, Dmytro; Lafita, Aleix; Monastyrskyy, Bohdan; Kryshtafovych, Andriy; Duarte, Jose M.
Afiliação
  • Guzenko D; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, California.
  • Lafita A; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
  • Monastyrskyy B; Protein Structure Prediction Center, Genome and Biomedical Sciences Facilities, University of California, Davis, California, USA.
  • Kryshtafovych A; Protein Structure Prediction Center, Genome and Biomedical Sciences Facilities, University of California, Davis, California, USA.
  • Duarte JM; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, California.
Proteins ; 87(12): 1190-1199, 2019 12.
Article em En | MEDLINE | ID: mdl-31374138
ABSTRACT
We present 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 see more integrated approaches where subunits are modeled in the context of the assemblies they form.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conformação Proteica / Software / Proteínas / Biologia Computacional Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conformação Proteica / Software / Proteínas / Biologia Computacional Idioma: En Ano de publicação: 2019 Tipo de documento: Article