title: Domain repertoires as a tool to derive protein recognition rules.
abstract: Several approaches, some of which are described in this issue, have been proposed to assemble a complete protein interaction map. These are often based on high throughput methods that explore the ability of each gene product to bind any other element of the proteome of the organism. Here we propose that a large number of interactions can be inferred by revealing the rules underlying recognition specificity of a small number (a few hundreds) of families of protein recognition modules. This can be achieved through the construction and characterization of domain repertoires. A domain repertoire is assembled in a combinatorial fashion by allowing each amino acid position in the binding site of a given protein recognition domain to vary to include all the residues allowed at that position in the domain family. The repertoire is then searched by phage display techniques with any target of interest and from the primary structure of the binding site of the selected domains one derives rules that are used to infer the formation of complexes between natural proteins in the cell.
authors.affiliation: Department of Biology Enrico Calef, University of Rome Tor Vergata, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Zucconi
authors.forename: S
authors.initials: S
authors.lastname: Panni
authors.forename: S
authors.initials: S
authors.lastname: Paoluzi
authors.forename: L
authors.initials: L
authors.lastname: Castagnoli
authors.forename: L
authors.initials: L
authors.lastname: Dente
authors.forename: G
authors.initials: G
authors.lastname: Cesareni
mesh_terms: D020816:Amino Acid Motifs; D000595:Amino Acid Sequence; D000818:Animals; D006801:Humans; D008958:Models, Molecular; D019151:Peptide Library; D010455:Peptides / Q000378:metabolism; D011485:Protein Binding; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry* / Q000145:classification / Q000378:metabolism*; D013379:Substrate Specificity
chemical_list: D019151:Peptide Library; D010455:Peptides; D011506:Proteins; C011083:polyproline