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Complexity and simplicity of ligand-macromolecule interactions: the energy landscape perspective.
Verkhivker, Gennady M; Bouzida, Djamal; Gehlhaar, Daniel K; Rejto, Paul A; Freer, Stephan T; Rose, Peter W.
Afiliação
  • Verkhivker GM; Department of Computational Chemistry, Agouron Pharmaceuticals Inc, A Pfizer Company, 10777 Science Center Drive, San Diego, California 92121-1111, USA. gennady.verkhivker@pfizer.com
Curr Opin Struct Biol ; 12(2): 197-203, 2002 Apr.
Article em En | MEDLINE | ID: mdl-11959497
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.
Assuntos
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Base de dados: MEDLINE Assunto principal: Substâncias Macromoleculares / Ligantes / Modelos Biológicos Idioma: En Ano de publicação: 2002 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Substâncias Macromoleculares / Ligantes / Modelos Biológicos Idioma: En Ano de publicação: 2002 Tipo de documento: Article