PROSITE: A documented database using patterns and profiles as motif descriptors

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PROSITE: A Documented Database Using Patterns and Profiles as Motif Descriptors

Among 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...

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The PROSITE database

The PROSITE database consists of a large collection of biologically meaningful signatures that are described as patterns or profiles. Each signature is linked to a documentation that provides useful biological information on the protein family, domain or functional site identified by the signature. The PROSITE database is now complemented by a series of rules that can give more precise informat...

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ProRule: a new database containing functional and structural information on PROSITE profiles

MOTIVATION Increase the discriminatory power of PROSITE profiles to facilitate function determination and provide biologically relevant information about domains detected by profiles for the annotation of proteins. SUMMARY We have created a new database, ProRule, which contains additional information about PROSITE profiles. ProRule contains notably the position of structurally and/or function...

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Groove Kernels as Rhythmic-Acoustic Motif Descriptors

The “groove” of a song correlates with enjoyment and bodily movement. Recent work has shown that humans often agree whether a song does or does not have groove and how much groove a song has. It is therefore useful to develop algorithms that characterize the quality of groove across songs. We evaluate three unsupervised tempo-invariant models for measuring pairwise musical groove similarity: A ...

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pfsearchV3: a code acceleration and heuristic to search PROSITE profiles

SUMMARY The PROSITE resource provides a rich and well annotated source of signatures in the form of generalized profiles that allow protein domain detection and functional annotation. One of the major limiting factors in the application of PROSITE in genome and metagenome annotation pipelines is the time required to search protein sequence databases for putative matches. We describe an improved...

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ژورنال

عنوان ژورنال: Briefings in Bioinformatics

سال: 2002

ISSN: 1467-5463,1477-4054

DOI: 10.1093/bib/3.3.265