Title |
ProCKSI: a decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information
|
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Published in |
BMC Bioinformatics, October 2007
|
DOI | 10.1186/1471-2105-8-416 |
Pubmed ID | |
Authors |
Daniel Barthel, Jonathan D Hirst, Jacek Błażewicz, Edmund K Burke, Natalio Krasnogor |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 2% |
Brazil | 1 | 2% |
Finland | 1 | 2% |
Canada | 1 | 2% |
Argentina | 1 | 2% |
Spain | 1 | 2% |
Unknown | 47 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 18 | 34% |
Student > Ph. D. Student | 8 | 15% |
Student > Bachelor | 8 | 15% |
Student > Doctoral Student | 2 | 4% |
Professor | 2 | 4% |
Other | 8 | 15% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
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Computer Science | 15 | 28% |
Agricultural and Biological Sciences | 10 | 19% |
Biochemistry, Genetics and Molecular Biology | 5 | 9% |
Engineering | 5 | 9% |
Mathematics | 2 | 4% |
Other | 7 | 13% |
Unknown | 9 | 17% |