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  Prediction of folding equilibria of differently substituted peptides using one-step perturbation

Lin, Z., Kornfeld, J., Machler, M., & van Gunsteren, W. F. (2010). Prediction of folding equilibria of differently substituted peptides using one-step perturbation. Journal of the American Chemical Society, 132(21), 7276-7278. doi:10.1021/ja100879k.

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 Urheber:
Lin, Zhixiong, Autor
Kornfeld, Jörgen1, Autor           
Machler, Markus, Autor
van Gunsteren, Wilfred F., Autor
Affiliations:
1ETH,Zürich, Switzerland, ou_persistent22              

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Schlagwörter: molecular-dynamics simulations free-energy protein state Chemistry
 Zusammenfassung: Computer simulation using long molecular dynamics (MD) can be used to simulate the folding equilibria of peptides and small proteins. However, a systematic investigation of the influence of the side-chain composition and position at the backbone on the folding equilibrium is computationally as well as experimentally too expensive because of the exponentially growing number of possible side-chain compositions and combinations along the peptide chain. Here, we show that application of the one-step perturbation technique may solve this problem, at least computationally; that is, one can predict many folding equilibria of a polypeptide with different side-chain substitutions from just one single MD simulation using an unphysical reference state. The methodology reduces the number of required separate simulations by an order of magnitude.

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Sprache(n): eng - English
 Datum: 2010-05-11
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: Anderer: WOS:000278190600021
DOI: 10.1021/ja100879k
ISSN: 0002-7863
 Art des Abschluß: -

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Titel: Journal of the American Chemical Society
  Andere : JACS
  Kurztitel : J. Am. Chem. Soc.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Washington, DC : American Chemical Society
Seiten: - Band / Heft: 132 (21) Artikelnummer: - Start- / Endseite: 7276 - 7278 Identifikator: ISSN: 0002-7863
CoNE: https://pure.mpg.de/cone/journals/resource/954925376870