Increasing the reliability of protein interactomes
Protein interactions are crucial components of all cellular processes. An in-depth knowledge of the full complement of protein interactions in a cell, therefore, provides insight into the structure, properties and functions of the cell and its components. An accurate and comprehensive protein intera...
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| Published in | Drug discovery today Vol. 13; no. 15; pp. 652 - 658 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Ltd
01.08.2008
Elsevier Science |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Protein interactions are crucial components of all cellular processes. An in-depth knowledge of the full complement of protein interactions in a cell, therefore, provides insight into the structure, properties and functions of the cell and its components. An accurate and comprehensive protein interaction network is, thus, an invaluable framework to study protein regulation in disease. Although the amount of protein–protein interaction data has grown significantly because of advances in high-throughput experimental techniques, these high-throughput methods are highly susceptible to noise. Therefore, computational techniques for assessing the reliability of a protein–protein interaction are highly desirable. We review here computational techniques for assessing and improving the reliability of protein–protein interaction data from these high-throughput experiments. |
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| AbstractList | Protein interactions are crucial components of all cellular processes. An in-depth knowledge of the full complement of protein interactions in a cell, therefore, provides insight into the structure, properties and functions of the cell and its components. An accurate and comprehensive protein interaction network is, thus, an invaluable framework to study protein regulation in disease. Although the amount of protein-protein interaction data has grown significantly because of advances in high-throughput experimental techniques, these high-throughput methods are highly susceptible to noise. Therefore, computational techniques for assessing the reliability of a protein-protein interaction are highly desirable. We review here computational techniques for assessing and improving the reliability of protein-protein interaction data from these high-throughput experiments. |
| Author | Wong, Limsoon Chua, Hon Nian |
| Author_xml | – sequence: 1 givenname: Hon Nian surname: Chua fullname: Chua, Hon Nian organization: Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore – sequence: 2 givenname: Limsoon surname: Wong fullname: Wong, Limsoon email: wongls@comp.nus.edu.sg, dcswls@nus.edu.sg organization: National University of Singapore, School of Computing, Singapore 117590, Singapore |
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| SubjectTerms | Animals Biological and medical sciences Computational Biology - methods General pharmacology Humans Medical sciences Pharmaceutical technology. Pharmaceutical industry Pharmacology. Drug treatments Protein Binding Protein Interaction Mapping - methods Proteins - chemistry Proteins - genetics Proteins - metabolism Reproducibility of Results Sequence Analysis, Protein |
| Title | Increasing the reliability of protein interactomes |
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