A protein domain interaction interface database: InterPare

Background: Most proteins function by interacting with other molecules. Their interaction interfaces are highly conserved throughout evolution to avoid undesirable interactions that lead to fatal disorders in cells. Rational drug discovery includes computational methods to identify the interaction sites of lead compounds to the target molecules. Identifying and classifying protein interaction interfaces on a large scale can help researchers discover drug targets more efficiently. Description: We introduce a large-scale protein domain interaction interface database called InterPare http://interpare.net. It contains both inter-chain (between chains) interfaces and intrachain (within chain) interfaces. InterPare uses three methods to detect interfaces: 1) the geometric distance method for checking the distance between atoms that belong to different domains, 2) Accessible Surface Area (ASA), a method for detecting the buried region of a protein that is detached from a solvent when forming...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Sungsam Gong, Changbum Park, Hansol Choi, Junsu Ko, Insoo Jang, Jungsul Lee, Dan M. Bolser, Donghoon Oh, Deok-Soo Kim, Jong Bhak
• Keywords: BMCBI 2005, Geometric Distance, Geometric Distance Method, Protein