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Ab initio protein structure prediction using a combined hierarchical approach.
Samudrala, R; Xia, Y; Huang, E; Levitt, M.
Afiliação
  • Samudrala R; Department of Structural Biology, Stanford University School of Medicine 94305, USA. ram@zen.stanford.edu
Proteins ; Suppl 3: 194-8, 1999.
Article em En | MEDLINE | ID: mdl-10526368
As part of the third Critical Assessment of Structure Prediction meeting (CASP3), we predict the three-dimensional structures for 13 proteins using a hierarchical approach. First, all possible compact conformations of a protein sequence are enumerated using a highly simplified tetrahedral lattice model. We select a large subset of these conformations using a lattice-based scoring function and build detailed all-atom models incorporating predicted secondary structure. A combined all-atom knowledge-based scoring function is then used to select three smaller subsets from these all-atom models. Finally, a consensus-based distance geometry procedure is used to generate the best conformations from each of the all-atom subsets. With this method, we are able to predict the global topology/shape for all or a large part of the sequence for six out of the thirteen proteins. For two other proteins, the topology/shape for shorter fragments are predicted. This represents a marked improvement in ab initio prediction since CASP was first instigated in 1994.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Estrutura Terciária de Proteína Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proteins Ano de publicação: 1999 Tipo de documento: Article
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Estrutura Terciária de Proteína Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proteins Ano de publicação: 1999 Tipo de documento: Article