000114892 001__ 114892
000114892 005__ 20181203021032.0
000114892 0247_ $$2doi$$a10.1093/bib/3.3.265
000114892 037__ $$aARTICLE
000114892 245__ $$aPROSITE: a documented database using patterns and profiles as motif descriptors
000114892 269__ $$a2002
000114892 260__ $$c2002
000114892 336__ $$aJournal Articles
000114892 500__ $$aSwiss Institute of Bioinformatics CMU, University of Geneva. christian.sigrist@isb-sib.ch
000114892 520__ $$aAmong the various databases dedicated to the identification of protein families and domains, PROSITE is the first one created and has continuously evolved since. PROSITE currently consists of a large collection of biologically meaningful motifs that are described as patterns or profiles, and linked to documentation briefly describing the protein family or domain they are designed to detect. The close relationship of PROSITE with the SWISS-PROT protein database allows the evaluation of the sensitivity and specificity of the PROSITE motifs and their periodic reviewing. In return, PROSITE is used to help annotate SWISS-PROT entries. The main characteristics and the techniques of family and domain identification used by PROSITE are reviewed in this paper.
000114892 700__ $$aSigrist, C. J.
000114892 700__ $$aCerutti, L.
000114892 700__ $$aHulo, N.
000114892 700__ $$aGattiker, A.
000114892 700__ $$aFalquet, L.
000114892 700__ $$aPagni, M.
000114892 700__ $$aBairoch, A.
000114892 700__ $$0244404$$aBucher, P.$$g113607
000114892 773__ $$j3$$k3$$q265-74$$tBrief Bioinform
000114892 909C0 $$0252244$$pGR-BUCHER$$xU11780
000114892 909CO $$ooai:infoscience.tind.io:114892$$pSV$$particle
000114892 937__ $$aGR-BUCHER-ARTICLE-2002-008
000114892 973__ $$aOTHER$$rREVIEWED$$sPUBLISHED
000114892 980__ $$aARTICLE