Literature DB >> 16204344

Pcons5: combining consensus, structural evaluation and fold recognition scores.

Björn Wallner1, Arne Elofsson.   

Abstract

MOTIVATION: The success of the consensus approach to the protein structure prediction problem has led to development of several different consensus methods. Most of them only rely on a structural comparison of a number of different models. However, there are other types of information that might be useful such as the score from the server and structural evaluation.
RESULTS: Pcons5 is a new and improved version of the consensus predictor Pcons. Pcons5 integrates information from three different sources: the consensus analysis, structural evaluation and the score from the fold recognition servers. We show that Pcons5 is better than the previous version of Pcons and that it performs better than using only the consensus analysis. In addition, we also present a version of Pmodeller based on Pcons5, which performs significantly better than Pcons5. AVAILABILITY: Pcons5 is the first Pcons version available as a standalone program from http://www.sbc.su.se/~bjorn/Pcons5. It should be easy to implement in local meta-servers.

Mesh:

Substances:

Year:  2005        PMID: 16204344     DOI: 10.1093/bioinformatics/bti702

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  45 in total

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9.  Predicting the molecular interactions of CRIP1a-cannabinoid 1 receptor with integrated molecular modeling approaches.

Authors:  Mostafa H Ahmed; Glen E Kellogg; Dana E Selley; Martin K Safo; Yan Zhang
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Authors:  Doreen Jahn; Andrea Matros; Anastasia Y Bakulina; Jens Tiedemann; Ulrike Schubert; Martin Giersberg; Sigrun Haehnel; Karen Zoufal; Hans-Peter Mock; Sergey M Kipriyanov
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