ProCKSI: a decision support system for Protein (Structure) Comparison,Knowledge, Similarity and Information |
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Authors: | Daniel Barthel Jonathan D Hirst Jacek Błażewicz Edmund K Burke Natalio Krasnogor |
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Affiliation: | (1) ASAP, School of Computer Science and IT, University of Nottingham, Nottingham, NG8 1BB, UK;(2) School of Chemistry, University of Nottingham, Nottingham, NG7 2RD, UK;(3) Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland;(4) The Institute of Computing Science, 60-965 Poznan, Poland |
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Abstract: | Background We introduce the decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information (ProCKSI). ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. It employs the Universal Similarity Metric (USM), the Maximum Contact Map Overlap (MaxCMO) of protein structures and other external methods such as the DaliLite and the TM-align methods, the Combinatorial Extension (CE) of the optimal path, and the FAST Align and Search Tool (FAST). Additionally, ProCKSI allows the user to upload a user-defined similarity matrix supplementing the methods mentioned, and computes a similarity consensus in order to provide a rich, integrated, multicriteria view of large datasets of protein structures. |
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