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Assessing the binding properties of CASP14 targets and models.
Egbert, Megan; Ghani, Usman; Ashizawa, Ryota; Kotelnikov, Sergei; Nguyen, Thu; Desta, Israel; Hashemi, Nasser; Padhorny, Dzmitry; Kozakov, Dima; Vajda, Sandor.
Afiliación
  • Egbert M; Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
  • Ghani U; Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
  • Ashizawa R; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
  • Kotelnikov S; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, USA.
  • Nguyen T; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
  • Desta I; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, USA.
  • Hashemi N; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, USA.
  • Padhorny D; Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
  • Kozakov D; Division of Systems Engineering, Boston University, Boston, Massachusetts, USA.
  • Vajda S; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Proteins ; 89(12): 1922-1939, 2021 12.
Article en En | MEDLINE | ID: mdl-34368994
An important question is how well the models submitted to CASP retain the properties of target structures. We investigate several properties related to binding. First we explore the binding of small molecules as probes, and count the number of interactions between each residue and such probes, resulting in a binding fingerprint. The similarity between two fingerprints, one for the X-ray structure and the other for a model, is determined by calculating their correlation coefficient. The fingerprint similarity weakly correlates with global measures of accuracy, and GDT_TS higher than 80 is a necessary but not sufficient condition for the conservation of surface binding properties. The advantage of this approach is that it can be carried out without information on potential ligands and their binding sites. The latter information was available for a few targets, and we explored whether the CASP14 models can be used to predict binding sites and to dock small ligands. Finally, we tested the ability of models to reproduce protein-protein interactions by docking both the X-ray structures and the models to their interaction partners in complexes. The analysis showed that in CASP14 the quality of individual domain models is approaching that offered by X-ray crystallography, and hence such models can be successfully used for the identification of binding and regulatory sites, as well as for assembling obligatory protein-protein complexes. Success of ligand docking, however, often depends on fine details of the binding interface, and thus may require accounting for conformational changes by simulation methods.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Unión Proteica / Sitios de Unión / Proteínas / Modelos Moleculares / Dominios y Motivos de Interacción de Proteínas Tipo de estudio: Prognostic_studies Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Unión Proteica / Sitios de Unión / Proteínas / Modelos Moleculares / Dominios y Motivos de Interacción de Proteínas Tipo de estudio: Prognostic_studies Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos