Title |
Estimation of protein function using template-based alignment of enzyme active sites
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Published in |
BMC Bioinformatics, March 2014
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DOI | 10.1186/1471-2105-15-87 |
Pubmed ID | |
Authors |
Brett Hanson, Charles Westin, Mario Rosa, Alexander Grier, Mikhail Osipovitch, Madolyn L MacDonald, Greg Dodge, Paule M Boli, Cyprian W Corwin, Haeja Kessler, Talia McKay, Herbert J Bernstein, Paul A Craig |
Abstract |
The accumulation of protein structural data occurs more rapidly than it can be characterized by traditional laboratory means. This has motivated widespread efforts to predict enzyme function computationally. The most useful/accurate strategies employed to date are based on the detection of motifs in novel structures that correspond to a specific function. Functional residues are critical components of predictively useful motifs. We have implemented a novel method, to complement current approaches, which detects motifs solely on the basis of distance restraints between catalytic residues. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 3% |
France | 1 | 3% |
India | 1 | 3% |
Czechia | 1 | 3% |
Japan | 1 | 3% |
United States | 1 | 3% |
Unknown | 23 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 24% |
Researcher | 7 | 24% |
Student > Master | 6 | 21% |
Student > Bachelor | 3 | 10% |
Professor | 2 | 7% |
Other | 2 | 7% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 41% |
Biochemistry, Genetics and Molecular Biology | 5 | 17% |
Computer Science | 3 | 10% |
Chemistry | 3 | 10% |
Physics and Astronomy | 1 | 3% |
Other | 2 | 7% |
Unknown | 3 | 10% |