title: A survey of available tools and web servers for analysis of protein-protein interactions and interfaces.
abstract: The unanimous agreement that cellular processes are (largely) governed by interactions between proteins has led to enormous community efforts culminating in overwhelming information relating to these proteins; to the regulation of their interactions, to the way in which they interact and to the function which is determined by these interactions. These data have been organized in databases and servers. However, to make these really useful, it is essential not only to be aware of these, but in particular to have a working knowledge of which tools to use for a given problem; what are the tool advantages and drawbacks; and no less important how to combine these for a particular goal since usually it is not one tool, but some combination of tool-modules that is needed. This is the goal of this review.
authors.affiliation: Computational Sciences and Engineering Program at Koc University, Istanbul, Turkey.
authors.forename: Nurcan
authors.initials: N
authors.lastname: Tuncbag
authors.forename: Gozde
authors.initials: G
authors.lastname: Kar
authors.forename: Ozlem
authors.initials: O
authors.lastname: Keskin
authors.forename: Attila
authors.initials: A
authors.lastname: Gursoy
authors.forename: Ruth
authors.initials: R
authors.lastname: Nussinov
mesh_terms: D000818:Animals; D001665:Binding Sites; D030562:Databases, Protein; D006801:Humans; D020407:Internet; D008958:Models, Molecular; D011487:Protein Conformation; D025941:Protein Interaction Mapping; D011506:Proteins / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism; D016283:Proto-Oncogene Proteins p21(ras) / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D015398:Signal Transduction / Q000502:physiology; D016159:Tumor Suppressor Protein p53 / Q000737:chemistry / Q000235:genetics / Q000378:metabolism
chemical_list: D011506:Proteins; D016159:Tumor Suppressor Protein p53; D016283:Proto-Oncogene Proteins p21(ras)