56 Citations (Scopus)

Abstract

The traditional approach to computational biophysics studies of molecular systems is brute force molecular dynamics simulations under the conditions of interest. The disadvantages of this approach are that the time and length scales that are accessible to computer simulations often do not reach biologically relevant scales. An alternative approach, which we call intuitive modeling, is hypothesis-driven and based on tailoring simplified protein models to the systems of interest. Using intuitive modeling, the length and time scales that can be achieved using simplified protein models exceed those of traditional molecular-dynamic simulations. Here, we describe several recent studies that signify the predictive power of simplified protein models within the intuitive-modeling approach.

Original languageEnglish (US)
Pages (from-to)450-455
Number of pages6
JournalTrends in Biotechnology
Volume23
Issue number9
DOIs
StatePublished - Jan 1 2005

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Molecular Dynamics Simulation
Proteins
Molecular dynamics
Computer simulation
Biophysics
Computer Simulation

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering

Cite this

Ding, Feng ; Dokholyan, Nikolay. / Simple but predictive protein models. In: Trends in Biotechnology. 2005 ; Vol. 23, No. 9. pp. 450-455.
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Simple but predictive protein models. / Ding, Feng; Dokholyan, Nikolay.

In: Trends in Biotechnology, Vol. 23, No. 9, 01.01.2005, p. 450-455.

Research output: Contribution to journalArticle

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AU - Ding, Feng

AU - Dokholyan, Nikolay

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