| Literature DB >> 11959497 |
Gennady M Verkhivker1, Djamal Bouzida, Daniel K Gehlhaar, Paul A Rejto, Stephan T Freer, Peter W Rose.
Abstract
The energy landscape approach has contributed to recent progress in understanding the complexity and simplicity of ligand-macromolecule interactions. Significant advances in computational structure prediction of ligand-protein complexes have been made using approaches that include the effects of protein flexibility and incorporate a hierarchy of energy functions. The results suggest that the complexity of structure prediction in molecular recognition may be determined by low-resolution properties of the underlying binding energy landscapes and by the nature of the energy funnels near the native structures of the complexes.Mesh:
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Year: 2002 PMID: 11959497 DOI: 10.1016/s0959-440x(02)00310-x
Source DB: PubMed Journal: Curr Opin Struct Biol ISSN: 0959-440X Impact factor: 6.809