Journal Article PreJuSER-62830

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Understanding protein folding: Small proteins in silico

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2008
Elsevier Amsterdam [u.a.]

Biochimica et biophysica acta / Proteins and proteomics 1784, 252 - 258 () [10.1016/j.bbapap.2007.10.010]

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Abstract: Recent improvements in methodology and increased computer power now allow atomistic computer simulations of protein folding. We briefly review several advanced Monte Carlo algorithms that have contributed to this development. Details of folding simulations of three designed mini proteins are shown. Adding global translations and rotations has allowed us to handle multiple chains and to simulate the aggregation of six beta-amyloid fragments. In a different line of research we have developed several algorithms to predict local features from sequence. In an outlook we sketch how such biasing could extend the application spectrum of Monte Carlo simulations to structure prediction of larger proteins.

Keyword(s): Algorithms (MeSH) ; Computational Biology: methods (MeSH) ; Computer Simulation (MeSH) ; Models, Molecular (MeSH) ; Monte Carlo Method (MeSH) ; Protein Conformation (MeSH) ; Protein Folding (MeSH) ; Proteins: chemistry (MeSH) ; Proteins ; J ; protein folding (auto) ; aggregation (auto) ; generalized-ensemble sampling (auto) ; structure prediction (auto)


Note: Record converted from VDB: 12.11.2012

Contributing Institute(s):
  1. John von Neumann - Institut für Computing (NIC)
Research Program(s):
  1. Scientific Computing (P41)

Appears in the scientific report 2008
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 Record created 2012-11-13, last modified 2018-02-11


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