Title |
Protein-protein docking using region-based 3D Zernike descriptors
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Published in |
BMC Bioinformatics, December 2009
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DOI | 10.1186/1471-2105-10-407 |
Pubmed ID | |
Authors |
Vishwesh Venkatraman, Yifeng D Yang, Lee Sael, Daisuke Kihara |
Abstract |
Protein-protein interactions are a pivotal component of many biological processes and mediate a variety of functions. Knowing the tertiary structure of a protein complex is therefore essential for understanding the interaction mechanism. However, experimental techniques to solve the structure of the complex are often found to be difficult. To this end, computational protein-protein docking approaches can provide a useful alternative to address this issue. Prediction of docking conformations relies on methods that effectively capture shape features of the participating proteins while giving due consideration to conformational changes that may occur. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 2 | 2% |
United Kingdom | 2 | 2% |
Cuba | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Unknown | 98 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 22% |
Researcher | 15 | 14% |
Student > Master | 13 | 12% |
Professor > Associate Professor | 7 | 7% |
Student > Bachelor | 6 | 6% |
Other | 16 | 15% |
Unknown | 25 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 24% |
Biochemistry, Genetics and Molecular Biology | 18 | 17% |
Chemistry | 11 | 10% |
Computer Science | 10 | 10% |
Engineering | 3 | 3% |
Other | 10 | 10% |
Unknown | 28 | 27% |