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. Even though, 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: 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 consensus analysis. In addition, we also present a version of Pmodeller based on Pcons5, that performs significantly better than Pcons5. Availability: Pcons5 is the first Pcons version available as a standalon
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