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Solvent Accessibility Promotes Rotamer Errors during Protein Modeling with Major Side-Chain Prediction Programs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F23%3A43923750" target="_blank" >RIV/62156489:43210/23:43923750 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1021/acs.jcim.3c00134" target="_blank" >https://doi.org/10.1021/acs.jcim.3c00134</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1021/acs.jcim.3c00134" target="_blank" >10.1021/acs.jcim.3c00134</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Solvent Accessibility Promotes Rotamer Errors during Protein Modeling with Major Side-Chain Prediction Programs

  • Original language description

    Side-chain rotamer prediction is one of the most critical late stages in protein 3D structure building. Highly advanced and specialized algorithms (e.g., FASPR, RASP, SCWRL4, and SCWRL4v) optimize this process by use of rotamer libraries, combinatorial searches, and scoring functions. We seek to identify the sources of key rotamer errors as a basis for correcting and improving the accuracy of protein modeling going forward. In order to evaluate the aforementioned programs, we process 2496 high-quality single-chained all-atom filtered 30% homology protein 3D structures and use discretized rotamer analysis to compare original with calculated structures. Among 513,024 filtered residue records, increased amino acid residue-dependent rotamer errors─associated in particular with polar and charged amino acid residues (ARG, LYS, and GLN)─clearly correlate with increased amino acid residue solvent accessibility and an increased residue tendency toward the adoption of non-canonical off rotamers which modeling programs struggle to predict accurately. Understanding the impact of solvent accessibility now appears key to improved side-chain prediction accuracies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Chemical Information and Modeling

  • ISSN

    1549-9596

  • e-ISSN

    1549-960X

  • Volume of the periodical

    63

  • Issue of the periodical within the volume

    14

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    4405-4422

  • UT code for WoS article

    001023558400001

  • EID of the result in the Scopus database

    2-s2.0-85164817104