Force Field Bias in Protein Folding Simulations
نویسندگان
چکیده
منابع مشابه
Force field bias in protein folding simulations.
Long timescale (>1 micros) molecular dynamics simulations of protein folding offer a powerful tool for understanding the atomic-scale interactions that determine a protein's folding pathway and stabilize its native state. Unfortunately, when the simulated protein fails to fold, it is often unclear whether the failure is due to a deficiency in the underlying force fields or simply a lack of suff...
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Molecular dynamics simulations hold the promise of providing an atomic-level description of protein folding that cannot easily be obtained from experiments. Here, we examine the extent to which the molecular mechanics force field used in such simulations might influence the observed folding pathways. To that end, we performed equilibrium simulations of a fast-folding variant of the villin headp...
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A protein is a linear chain of amino acids. The proteins of natural living organisms are composed of 20 different types of amino acids. A typical protein is a polymer of 300 amino acids, of which there are 20 = 2× 10 different possibilities. The human body uses about 80,000 different proteins for most of its functionality, including structure, communication, transport, and catalysis. The order ...
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Computer simulation holds great promise to significantly complement experiment as a tool for biological and biophysical characterization. Simulations offer the promise of atomic spatial detail with femtosecond temporal resolution. However, the application of computational methodology has been greatly limited due to fundamental computational challenges: put simply, for much of what one would wan...
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Title of dissertation: COMPUTER SIMULATIONS OF PROTEIN FOLDING Aram Davtyan, Doctor of Philosophy, 2013 Dissertation directed by: Professor Garegin A. Papoian Department of Chemistry and Institute for Physical Science and Technology Understanding how proteins fold and interact with each other is key to understanding virtually all biological processes. Recent advances in computer power and model...
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ژورنال
عنوان ژورنال: Biophysical Journal
سال: 2009
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2009.02.033