All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Collective Variable for Metadynamics Derived From AlphaFold Output

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F22%3A43924443" target="_blank" >RIV/60461373:22330/22:43924443 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14610/22:00129134

  • Result on the web

    <a href="https://www.frontiersin.org/articles/10.3389/fmolb.2022.878133/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fmolb.2022.878133/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fmolb.2022.878133" target="_blank" >10.3389/fmolb.2022.878133</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Collective Variable for Metadynamics Derived From AlphaFold Output

  • Original language description

    AlphaFold is a neural network–based tool for the prediction of 3D structures of proteins. In CASP14, a blind structure prediction challenge, it performed significantly better than other competitors, making it the best available structure prediction tool. One of the outputs of AlphaFold is the probability profile of residue–residue distances. This makes it possible to score any conformation of the studied protein to express its compliance with the AlphaFold model. Here, we show how this score can be used to drive protein folding simulation by metadynamics and parallel tempering metadynamics. Using parallel tempering metadynamics, we simulated the folding of a mini-protein Trp-cage and β hairpin and predicted their folding equilibria. We observe the potential of the AlphaFold-based collective variable in applications beyond structure prediction, such as in structure refinement or prediction of the outcome of a mutation. Copyright © 2022 Spiwok, Kurečka and Křenek.

  • 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

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Frontiers in Molecular Biosciences

  • ISSN

    2296-889X

  • e-ISSN

    2296-889X

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    Neuveden

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    "878133_1"-"878133_10"

  • UT code for WoS article

    000816408600001

  • EID of the result in the Scopus database

    2-s2.0-85133463409