Title |
The MULTICOM toolbox for protein structure prediction
|
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Published in |
BMC Bioinformatics, April 2012
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DOI | 10.1186/1471-2105-13-65 |
Pubmed ID | |
Authors |
Jianlin Cheng, Jilong Li, Zheng Wang, Jesse Eickholt, Xin Deng |
Abstract |
As genome sequencing is becoming routine in biomedical research, the total number of protein sequences is increasing exponentially, recently reaching over 108 million. However, only a tiny portion of these proteins (i.e. ~75,000 or < 0.07%) have solved tertiary structures determined by experimental techniques. The gap between protein sequence and structure continues to enlarge rapidly as the throughput of genome sequencing techniques is much higher than that of protein structure determination techniques. Computational software tools for predicting protein structure and structural features from protein sequences are crucial to make use of this vast repository of protein resources. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 67% |
Canada | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 3 | 4% |
Chile | 1 | 1% |
France | 1 | 1% |
Brazil | 1 | 1% |
United Kingdom | 1 | 1% |
Canada | 1 | 1% |
Cuba | 1 | 1% |
Argentina | 1 | 1% |
New Zealand | 1 | 1% |
Other | 2 | 2% |
Unknown | 69 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 19 | 23% |
Researcher | 13 | 16% |
Student > Master | 13 | 16% |
Student > Bachelor | 12 | 15% |
Student > Postgraduate | 6 | 7% |
Other | 14 | 17% |
Unknown | 5 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 29 | 35% |
Biochemistry, Genetics and Molecular Biology | 19 | 23% |
Computer Science | 17 | 21% |
Materials Science | 2 | 2% |
Immunology and Microbiology | 1 | 1% |
Other | 8 | 10% |
Unknown | 6 | 7% |