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CASP6 assessment of contact prediction.
Graña, Osvaldo; Baker, David; MacCallum, Robert M; Meiler, Jens; Punta, Marco; Rost, Burkhard; Tress, Michael L; Valencia, Alfonso.
Afiliação
  • Graña O; Protein Design Group, Centro Nacional de Biotecnologia (CNB-CSIC), C/Darwin 3, Cantoblanco, Madrid, Spain.
  • Baker D; University of Washington, Department of Biochemistry, Seattle, Washington.
  • MacCallum RM; Stockholm Bioinformatics Center, Stockholm University, Stockholm, Sweden.
  • Meiler J; Department of Chemistry, Center for Structural Biology, Vanderbilt University, Nashville, Tennessee.
  • Punta M; CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York.
  • Rost B; CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York.
  • Tress ML; Protein Design Group, Centro Nacional de Biotecnologia (CNB-CSIC), C/Darwin 3, Cantoblanco, Madrid, Spain.
  • Valencia A; Protein Design Group, Centro Nacional de Biotecnologia (CNB-CSIC), C/Darwin 3, Cantoblanco, Madrid, Spain.
Proteins ; 61 Suppl 7: 214-224, 2005.
Article em En | MEDLINE | ID: mdl-16187364
ABSTRACT
Here we present the evaluation results of the Critical Assessment of Protein Structure Prediction (CASP6) contact prediction category. Contact prediction was assessed with standard measures well known in the field and the performance of specialist groups was evaluated alongside groups that submitted models with 3D coordinates. The evaluation was mainly focused on long range contact predictions for the set of new fold targets, although we analyzed predictions for all targets. Three groups with similar levels of accuracy and coverage performed a little better than the others. Comparisons of the predictions of the three best methods with those of CASP5/CAFASP3 suggested some improvement, although there were not enough targets in the comparisons to make this statistically significant.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Proteômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proteins Assunto da revista: BIOQUIMICA Ano de publicação: 2005 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Proteômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proteins Assunto da revista: BIOQUIMICA Ano de publicação: 2005 Tipo de documento: Article País de afiliação: Espanha