Title |
A benchmark server using high resolution protein structure data, and benchmark results for membrane helix predictions
|
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Published in |
BMC Bioinformatics, March 2013
|
DOI | 10.1186/1471-2105-14-111 |
Pubmed ID | |
Authors |
Emma M Rath, Dominique Tessier, Alexander A Campbell, Hong Ching Lee, Tim Werner, Noeris K Salam, Lawrence K Lee, W Bret Church |
Abstract |
Helical membrane proteins are vital for the interaction of cells with their environment. Predicting the location of membrane helices in protein amino acid sequences provides substantial understanding of their structure and function and identifies membrane proteins in sequenced genomes. Currently there is no comprehensive benchmark tool for evaluating prediction methods, and there is no publication comparing all available prediction tools. Current benchmark literature is outdated, as recently determined membrane protein structures are not included. Current literature is also limited to global assessments, as specialised benchmarks for predicting specific classes of membrane proteins were not previously carried out. |
X Demographics
Geographical breakdown
Country | Count | As % |
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India | 2 | 67% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 2 | 6% |
Spain | 1 | 3% |
India | 1 | 3% |
Canada | 1 | 3% |
Unknown | 30 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 11 | 31% |
Researcher | 6 | 17% |
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 3 | 9% |
Student > Master | 3 | 9% |
Other | 5 | 14% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 43% |
Biochemistry, Genetics and Molecular Biology | 6 | 17% |
Computer Science | 5 | 14% |
Chemistry | 3 | 9% |
Physics and Astronomy | 2 | 6% |
Other | 0 | 0% |
Unknown | 4 | 11% |