Chemical biology

✍ Scribed by Lisa Matthews; Muneesh Tewari; Nicola Pohl; Richard Cammack; Dennis Hall; Steven Projan; Jon D Stewart; Sarah L Roberts; Jeremy KM Sanders; Sabine Flitsch; Philip A.S Lowden; Richard Newman

• Book ID: 104414523
• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 68 KB
• Volume: 5
• Category: Article
• ISSN: 1367-5931
• DOI: 10.1016/s1367-5931(00)00195-2

✦ Synopsis

This paper describes a method for predicting the subcellular localization, cellular role, and biological function of proteins based on the function of proteins with which they interact. Findings: This prediction method is most accurate when applied to large data sets in which the protein of interest has multiple 'neighbors' that are interconnected within an interaction map and whose interactions have been identified in multiple independent experiments.

Large-scale analysis of the yeast proteome by multidimensional protein identification technology.