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An Efficient Null M...
An Efficient Null Model for Conformational Fluctuations in Proteins
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Harder, Tim (author)
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Borg, Mikael (author)
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Bottaro, Sandro (author)
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- Boomsma, Wouter (author)
- Lund University,Lunds universitet,Beräkningsbiologi och biologisk fysik - Genomgår omorganisation,Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation,Naturvetenskapliga fakulteten,Computational Biology and Biological Physics - Undergoing reorganization,Department of Astronomy and Theoretical Physics - Undergoing reorganization,Faculty of Science
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Olsson, Simon (author)
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Ferkinghoff-Borg, Jesper (author)
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Hamelryck, Thomas (author)
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(creator_code:org_t)
- Elsevier BV, 2012
- 2012
- English.
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In: Structure. - : Elsevier BV. - 0969-2126. ; 20:6, s. 1028-1039
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Abstract
Subject headings
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- Protein dynamics play a crucial role in function, catalytic activity, and pathogenesis. Consequently, there is great interest in computational methods that probe the conformational fluctuations of a protein. However, molecular dynamics simulations are computationally costly and therefore are often limited to comparatively short timescales. TYPHON is a probabilistic method to explore the conformational space of proteins under the guidance of a sophisticated probabilistic model of local structure and a given set of restraints that represent nonlocal interactions, such as hydrogen bonds or disulfide bridges. The choice of the restraints themselves is heuristic, but the resulting probabilistic model is well-defined and rigorous. Conceptually, TYPHON constitutes a null model of conformational fluctuations under a given set of restraints. We demonstrate that TYPHON can provide information on conformational fluctuations that is in correspondence with experimental measurements. TYPHON provides a flexible, yet computationally efficient, method to explore possible conformational fluctuations in proteins.
Subject headings
- NATURVETENSKAP -- Biologi -- Biofysik (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Biophysics (hsv//eng)
Publication and Content Type
- art (subject category)
- ref (subject category)
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