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Insights into Unfolded Proteins from the Intrinsic phi/psi Propensities of the AAXAA Host-Guest Series

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F16%3A00458534" target="_blank" >RIV/61388963:_____/16:00458534 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.bpj.2015.12.008" target="_blank" >http://dx.doi.org/10.1016/j.bpj.2015.12.008</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.bpj.2015.12.008" target="_blank" >10.1016/j.bpj.2015.12.008</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Insights into Unfolded Proteins from the Intrinsic phi/psi Propensities of the AAXAA Host-Guest Series

  • Original language description

    Various host-guest peptide series are used by experimentalists as reference conformational states. One such use is as a baseline for random-coil NMR chemical shifts. Comparison to this random-coil baseline, through secondary chemical shifts, is used to infer protein secondary structure. The use of these random-coil data sets rests on the perception that the reference chemical shifts arise from states where there is little or no conformational bias. However, there is growing evidence that the conformational composition of natively and nonnatively unfolded proteins fail to approach anything that can be construed as random coil. Here, we use molecular dynamics simulations of an alanine-based host-guest peptide series (AAXAA) as a model of unfolded and denatured states to examine the intrinsic propensities of the amino acids. We produced ensembles that are in good agreement with the experimental NMR chemical shifts and confirm that the sampling of the 20 natural amino acids in this peptide series is be far from random. Preferences toward certain regions of conformational space were both present and dependent upon the environment when compared under conditions typically used to denature proteins, i.e., thermal and chemical denaturation. Moreover, the simulations allowed us to examine the conformational makeup of the underlying ensembles giving rise to the ensemble-averaged chemical shifts. We present these data as an intrinsic backbone propensity library that forms part of our Structural Library of Intrinsic Residue Propensities to inform model building, to aid in interpretation of experiment, and for structure prediction of natively and nonnatively unfolded states.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BO - Biophysics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LH11020" target="_blank" >LH11020: Systematic mapping of the conformational space of short peptides through molecular dynamics simulation - a way to understanding of protein structure formation.</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Biophysical Journal

  • ISSN

    0006-3495

  • e-ISSN

  • Volume of the periodical

    110

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    348-361

  • UT code for WoS article

    000368354700009

  • EID of the result in the Scopus database

    2-s2.0-84955447535