THE PROSITE DICTIONARY OF SITES AND PATTERNS IN PROTEINS, ITS CURRENT STATUS
THE PROSITE DICTIONARY OF SITES AND PATTERNS IN PROTEINS, ITS CURRENT STATUS
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DOI:
10.1093/nar/21.13.3097
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发表时间:
1993-07-01
影响因子:
14.9
通讯作者:
BAIROCH, A
中科院分区:
文献类型:
--
作者:
BAIROCH, A
BACKGROUND PROSITE is a compilation of sites and patterns found in protein sequences; it can be used as a method ofdetermining thefunction of uncharacterized proteins translated from genomic or cDNA sequences. In some cases the sequence of an unknown protein is too distantly related to any protein of known structure to detect its resemblance by overall sequence alignment, but relationships can be revealed by the occurrence in its sequence of a particular cluster of residue types which is variously known as a pattern, motif, signature, or fingerprint. These motifs arise because specific region (s) of a protein which may be important, for example, for their binding properties or for their enzymatic activity are conserved in both structure and sequence. These structural requirements impose very tight constraints on the evolution of these small but important portion (s) of a protein sequence. The use of protein sequence patterns to determine the function of proteins is becoming very rapidly one of theessential tools of sequence analysis. This reality has been recognized by many authors [1, 2]. While there have been a number of reviews of published patterns [3, 4, 5], no attempt had been made until very recently [6, 7] to systematically collect biologically significant patterns or to discover new ones. Based on these observations, we decided in 1988, to actively pursue the development of a database of patterns which would be used to search against sequences of unknown function. This database, called PROSITE, contains some patterns which have been published in the literature, but the majority have been developed in the last four years by the author.LEADING CONCEPTS The design of PROSITE follows four leading concepts: Completeness. For such a compilation to be helpful in the determination of protein function, it is important that it contains as many biologically meaningful patterns as possible. High specificity of the patterns. In the majority of cases we have chosen patterns that are specific enough that they do not detect too many unrelated sequences, yet they will detect most, if not all, sequences that clearly belong to the set in consideration.