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1.
Nucleic Acids Res ; 49(D1): D344-D354, 2021 01 08.
Article in English | MEDLINE | ID: mdl-33156333

ABSTRACT

The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. InterProScan is the underlying software that allows protein and nucleic acid sequences to be searched against InterPro's signatures. Signatures are predictive models which describe protein families, domains or sites, and are provided by multiple databases. InterPro combines signatures representing equivalent families, domains or sites, and provides additional information such as descriptions, literature references and Gene Ontology (GO) terms, to produce a comprehensive resource for protein classification. Founded in 1999, InterPro has become one of the most widely used resources for protein family annotation. Here, we report the status of InterPro (version 81.0) in its 20th year of operation, and its associated software, including updates to database content, the release of a new website and REST API, and performance improvements in InterProScan.


Subject(s)
Databases, Protein , Proteins/chemistry , Amino Acid Sequence , COVID-19/metabolism , Internet , Molecular Sequence Annotation , Protein Domains , Protein Interaction Maps , SARS-CoV-2/metabolism , Sequence Alignment
2.
Nucleic Acids Res ; 47(D1): D351-D360, 2019 01 08.
Article in English | MEDLINE | ID: mdl-30398656

ABSTRACT

The InterPro database (http://www.ebi.ac.uk/interpro/) classifies protein sequences into families and predicts the presence of functionally important domains and sites. Here, we report recent developments with InterPro (version 70.0) and its associated software, including an 18% growth in the size of the database in terms on new InterPro entries, updates to content, the inclusion of an additional entry type, refined modelling of discontinuous domains, and the development of a new programmatic interface and website. These developments extend and enrich the information provided by InterPro, and provide greater flexibility in terms of data access. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB, and discuss how our evaluation of residue coverage may help guide future curation activities.


Subject(s)
Databases, Protein , Molecular Sequence Annotation , Animals , Databases, Genetic , Gene Ontology , Humans , Internet , Multigene Family , Protein Domains/genetics , Sequence Homology, Amino Acid , Software , User-Computer Interface
3.
Nucleic Acids Res ; 45(D1): D190-D199, 2017 01 04.
Article in English | MEDLINE | ID: mdl-27899635

ABSTRACT

InterPro (http://www.ebi.ac.uk/interpro/) is a freely available database used to classify protein sequences into families and to predict the presence of important domains and sites. InterProScan is the underlying software that allows both protein and nucleic acid sequences to be searched against InterPro's predictive models, which are provided by its member databases. Here, we report recent developments with InterPro and its associated software, including the addition of two new databases (SFLD and CDD), and the functionality to include residue-level annotation and prediction of intrinsic disorder. These developments enrich the annotations provided by InterPro, increase the overall number of residues annotated and allow more specific functional inferences.


Subject(s)
Computational Biology/methods , Databases, Protein , Protein Interaction Domains and Motifs , Software , Humans , Molecular Sequence Annotation , Phylogeny
4.
Nucleic Acids Res ; 43(Database issue): D213-21, 2015 Jan.
Article in English | MEDLINE | ID: mdl-25428371

ABSTRACT

The InterPro database (http://www.ebi.ac.uk/interpro/) is a freely available resource that can be used to classify sequences into protein families and to predict the presence of important domains and sites. Central to the InterPro database are predictive models, known as signatures, from a range of different protein family databases that have different biological focuses and use different methodological approaches to classify protein families and domains. InterPro integrates these signatures, capitalizing on the respective strengths of the individual databases, to produce a powerful protein classification resource. Here, we report on the status of InterPro as it enters its 15th year of operation, and give an overview of new developments with the database and its associated Web interfaces and software. In particular, the new domain architecture search tool is described and the process of mapping of Gene Ontology terms to InterPro is outlined. We also discuss the challenges faced by the resource given the explosive growth in sequence data in recent years. InterPro (version 48.0) contains 36,766 member database signatures integrated into 26,238 InterPro entries, an increase of over 3993 entries (5081 signatures), since 2012.


Subject(s)
Databases, Protein , Proteins/classification , Bacteria/metabolism , Gene Ontology , Protein Structure, Tertiary , Proteins/genetics , Sequence Analysis, Protein , Software
5.
Bioinformatics ; 30(9): 1236-40, 2014 May 01.
Article in English | MEDLINE | ID: mdl-24451626

ABSTRACT

MOTIVATION: Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-based architecture for the widely used protein function prediction software package InterProScan. Developments include improvements and additions to the outputs of the software and the complete reimplementation of the software framework, resulting in a flexible and stable system that is able to use both multiprocessor machines and/or conventional clusters to achieve scalable distributed data analysis. InterProScan is freely available for download from the EMBl-EBI FTP site and the open source code is hosted at Google Code.


Subject(s)
Genome , Genomics/methods , High-Throughput Nucleotide Sequencing/methods , Proteins/analysis , Arabidopsis/chemistry , Arabidopsis/genetics , Cluster Analysis , Programming Languages , Proteins/genetics , Proteins/metabolism , Software
6.
Nucleic Acids Res ; 42(Database issue): D600-6, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24165880

ABSTRACT

Metagenomics is a relatively recently established but rapidly expanding field that uses high-throughput next-generation sequencing technologies to characterize the microbial communities inhabiting different ecosystems (including oceans, lakes, soil, tundra, plants and body sites). Metagenomics brings with it a number of challenges, including the management, analysis, storage and sharing of data. In response to these challenges, we have developed a new metagenomics resource (http://www.ebi.ac.uk/metagenomics/) that allows users to easily submit raw nucleotide reads for functional and taxonomic analysis by a state-of-the-art pipeline, and have them automatically stored (together with descriptive, standards-compliant metadata) in the European Nucleotide Archive.


Subject(s)
Databases, Genetic , Metagenomics , Gene Expression Profiling , Internet , Metabolomics , Proteomics , Software
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