Monte Carlo methods for short polypeptides

Jeremy Schofield, Mark A Ratner

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Nonphysical sampling Monte Carlo techniques that enable average structural properties of short in vacuo polypeptide chains to be calculated accurately are discussed. Updating algorithms developed for Monte Carlo studies of flexible polymer chains are modified and adapted for polypeptide chain systems to improve conformational sampling. Utilizing these methods, the effect of bond angle and bond length constraints in Monte Carlo simulations are examined and it is demonstrated that angle constraints bias structural averages without greatly reducing the computational work.

Original languageEnglish
Pages (from-to)9177-9191
Number of pages15
JournalJournal of Chemical Physics
Volume109
Issue number20
DOIs
Publication statusPublished - 1998

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polypeptides
Monte Carlo method
Monte Carlo methods
sampling
Sampling
Peptides
Bond length
Structural properties
Polymers
polymers
simulation
Monte Carlo simulation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Monte Carlo methods for short polypeptides. / Schofield, Jeremy; Ratner, Mark A.

In: Journal of Chemical Physics, Vol. 109, No. 20, 1998, p. 9177-9191.

Research output: Contribution to journalArticle

Schofield, Jeremy ; Ratner, Mark A. / Monte Carlo methods for short polypeptides. In: Journal of Chemical Physics. 1998 ; Vol. 109, No. 20. pp. 9177-9191.
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