Title |
Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set
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Published in |
BMC Bioinformatics, December 2014
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DOI | 10.1186/1471-2105-15-s15-s9 |
Pubmed ID | |
Authors |
Zhu-Hong You, Lin Zhu, Chun-Hou Zheng, Hong-Jie Yu, Su-Ping Deng, Zhen Ji |
Abstract |
Identifying protein-protein interactions (PPIs) is essential for elucidating protein functions and understanding the molecular mechanisms inside the cell. However, the experimental methods for detecting PPIs are both time-consuming and expensive. Therefore, computational prediction of protein interactions are becoming increasingly popular, which can provide an inexpensive way of predicting the most likely set of interactions at the entire proteome scale, and can be used to complement experimental approaches. Although much progress has already been achieved in this direction, the problem is still far from being solved and new approaches are still required to overcome the limitations of the current prediction models. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Denmark | 1 | 33% |
Unknown | 2 | 67% |
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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India | 1 | 1% |
Unknown | 81 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 16 | 20% |
Researcher | 16 | 20% |
Student > Bachelor | 7 | 9% |
Unspecified | 5 | 6% |
Student > Master | 5 | 6% |
Other | 10 | 12% |
Unknown | 23 | 28% |
Readers by discipline | Count | As % |
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Computer Science | 20 | 24% |
Agricultural and Biological Sciences | 11 | 13% |
Biochemistry, Genetics and Molecular Biology | 10 | 12% |
Unspecified | 5 | 6% |
Engineering | 4 | 5% |
Other | 6 | 7% |
Unknown | 26 | 32% |