Increasing the reliability of protein interactomes

• Published in: Drug discovery today Vol. 13; no. 15; pp. 652 - 658
• Main Authors: Chua, Hon Nian, Wong, Limsoon
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.08.2008; Elsevier Science
• Subjects: 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; Molecular interaction; Pharmaceutical technology; Reliability; Computer aid; Protein
• ISSN: 1359-6446; 1878-5832
• DOI: 10.1016/j.drudis.2008.05.004

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.