Evolution and Physics in Comparative Protein Structure Modeling
Author(s) -
András Fiser,
Michael Feig,
Charles L. Brooks,
Andrej Šali
Publication year - 2002
Publication title -
accounts of chemical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.454
H-Index - 395
eISSN - 1520-4898
pISSN - 0001-4842
DOI - 10.1021/ar010061h
Subject(s) - protein structure prediction , protein folding , folding (dsp implementation) , protein structure , solvation , perspective (graphical) , chemistry , statistical physics , computer science , computational biology , physics , solvent , biology , engineering , artificial intelligence , biochemistry , mechanical engineering
From a physical perspective, the native structure of a protein is a consequence of physical forces acting on the protein and solvent atoms during the folding process. From a biological perspective, the native structure of proteins is a result of evolution over millions of years. Correspondingly, there are two types of protein structure prediction methods, de novo prediction and comparative modeling. We review comparative protein structure modeling and discuss the incorporation of physical considerations into the modeling process. A good starting point for achieving this aim is provided by comparative modeling by satisfaction of spatial restraints. Incorporation of physical considerations is illustrated by an inclusion of solvation effects into the modeling of loops.
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