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Nucleic Acids Research | 2000

The Pfam protein families database

Marco Punta; Penny Coggill; Ruth Y. Eberhardt; Jaina Mistry; John G. Tate; Chris Boursnell; Kristoffer Forslund; Goran Ceric; Jody Clements; Andreas Heger; Liisa Holm; Erik L. L. Sonnhammer; Sean R. Eddy; Alex Bateman; Robert D. Finn

Pfam is a widely used database of protein families, currently containing more than 13 000 manually curated protein families as of release 26.0. Pfam is available via servers in the UK (http://pfam.sanger.ac.uk/), the USA (http://pfam.janelia.org/) and Sweden (http://pfam.sbc.su.se/). Here, we report on changes that have occurred since our 2010 NAR paper (release 24.0). Over the last 2 years, we have generated 1840 new families and increased coverage of the UniProt Knowledgebase (UniProtKB) to nearly 80%. Notably, we have taken the step of opening up the annotation of our families to the Wikipedia community, by linking Pfam families to relevant Wikipedia pages and encouraging the Pfam and Wikipedia communities to improve and expand those pages. We continue to improve the Pfam website and add new visualizations, such as the ‘sunburst’ representation of taxonomic distribution of families. In this work we additionally address two topics that will be of particular interest to the Pfam community. First, we explain the definition and use of family-specific, manually curated gathering thresholds. Second, we discuss some of the features of domains of unknown function (also known as DUFs), which constitute a rapidly growing class of families within Pfam.


Nucleic Acids Research | 2014

Pfam: the protein families database

Robert D. Finn; Alex Bateman; Jody Clements; Penelope Coggill; Ruth Y. Eberhardt; Sean R. Eddy; Andreas Heger; Kirstie Hetherington; Liisa Holm; Jaina Mistry; Erik L. L. Sonnhammer; John G. Tate; Marco Punta

Pfam, available via servers in the UK (http://pfam.sanger.ac.uk/) and the USA (http://pfam.janelia.org/), is a widely used database of protein families, containing 14 831 manually curated entries in the current release, version 27.0. Since the last update article 2 years ago, we have generated 1182 new families and maintained sequence coverage of the UniProt Knowledgebase (UniProtKB) at nearly 80%, despite a 50% increase in the size of the underlying sequence database. Since our 2012 article describing Pfam, we have also undertaken a comprehensive review of the features that are provided by Pfam over and above the basic family data. For each feature, we determined the relevance, computational burden, usage statistics and the functionality of the feature in a website context. As a consequence of this review, we have removed some features, enhanced others and developed new ones to meet the changing demands of computational biology. Here, we describe the changes to Pfam content. Notably, we now provide family alignments based on four different representative proteome sequence data sets and a new interactive DNA search interface. We also discuss the mapping between Pfam and known 3D structures.


Nucleic Acids Research | 2016

The Pfam protein families database: towards a more sustainable future

Robert D. Finn; Penelope Coggill; Ruth Y. Eberhardt; Sean R. Eddy; Jaina Mistry; Alex L. Mitchell; Simon Potter; Marco Punta; Matloob Qureshi; Amaia Sangrador-Vegas; Gustavo A. Salazar; John G. Tate; Alex Bateman

In the last two years the Pfam database (http://pfam.xfam.org) has undergone a substantial reorganisation to reduce the effort involved in making a release, thereby permitting more frequent releases. Arguably the most significant of these changes is that Pfam is now primarily based on the UniProtKB reference proteomes, with the counts of matched sequences and species reported on the website restricted to this smaller set. Building families on reference proteomes sequences brings greater stability, which decreases the amount of manual curation required to maintain them. It also reduces the number of sequences displayed on the website, whilst still providing access to many important model organisms. Matches to the full UniProtKB database are, however, still available and Pfam annotations for individual UniProtKB sequences can still be retrieved. Some Pfam entries (1.6%) which have no matches to reference proteomes remain; we are working with UniProt to see if sequences from them can be incorporated into reference proteomes. Pfam-B, the automatically-generated supplement to Pfam, has been removed. The current release (Pfam 29.0) includes 16 295 entries and 559 clans. The facility to view the relationship between families within a clan has been improved by the introduction of a new tool.


Nucleic Acids Research | 2004

The EMBL Nucleotide Sequence Database

Tamara Kulikova; Philippe Aldebert; Nicola Althorpe; Wendy Baker; Kirsty Bates; Paul Browne; Alexandra van den Broek; Guy Cochrane; Karyn Duggan; Ruth Y. Eberhardt; Nadeem Faruque; Maria Garcia-Pastor; Nicola Harte; Carola Kanz; Rasko Leinonen; Quan Lin; Vincent Lombard; Rodrigo Lopez; Renato Mancuso; Michelle McHale; Francesco Nardone; Ville Silventoinen; Peter Stoehr; Guenter Stoesser; Mary Ann Tuli; Katerina Tzouvara; Robert Vaughan; Dan Wu; Weimin Zhu; Rolf Apweiler

The EMBL Nucleotide Sequence Database (http://www.ebi.ac.uk/embl), maintained at the European Bioinformatics Institute (EBI) near Cambridge, UK, is a comprehensive collection of nucleotide sequences and annotation from available public sources. The database is part of an international collaboration with DDBJ (Japan) and GenBank (USA). Data are exchanged daily between the collaborating institutes to achieve swift synchrony. Webin is the preferred tool for individual submissions of nucleotide sequences, including Third Party Annotation (TPA) and alignments. Automated procedures are provided for submissions from large-scale sequencing projects and data from the European Patent Office. New and updated data records are distributed daily and the whole EMBL Nucleotide Sequence Database is released four times a year. Access to the sequence data is provided via ftp and several WWW interfaces. With the web-based Sequence Retrieval System (SRS) it is also possible to link nucleotide data to other specialist molecular biology databases maintained at the EBI. Other tools are available for sequence similarity searching (e.g. FASTA and BLAST). Changes over the past year include the removal of the sequence length limit, the launch of the EMBLCDSs dataset, extension of the Sequence Version Archive functionality and the revision of quality rules for TPA data.


Nucleic Acids Research | 2015

Rfam 12.0: updates to the RNA families database

Eric P. Nawrocki; Sarah W. Burge; Alex Bateman; Jennifer Daub; Ruth Y. Eberhardt; Sean R. Eddy; Evan W. Floden; Paul P. Gardner; Thomas A. Jones; John G. Tate; Robert D. Finn

The Rfam database (available at http://rfam.xfam.org) is a collection of non-coding RNA families represented by manually curated sequence alignments, consensus secondary structures and annotation gathered from corresponding Wikipedia, taxonomy and ontology resources. In this article, we detail updates and improvements to the Rfam data and website for the Rfam 12.0 release. We describe the upgrade of our search pipeline to use Infernal 1.1 and demonstrate its improved homology detection ability by comparison with the previous version. The new pipeline is easier for users to apply to their own data sets, and we illustrate its ability to annotate RNAs in genomic and metagenomic data sets of various sizes. Rfam has been expanded to include 260 new families, including the well-studied large subunit ribosomal RNA family, and for the first time includes information on short sequence- and structure-based RNA motifs present within families.


Nucleic Acids Research | 2007

EMBL Nucleotide Sequence Database in 2006

Tamara Kulikova; Ruth Akhtar; Philippe Aldebert; Nicola Althorpe; Mikael Andersson; Alastair Baldwin; Kirsty Bates; Sumit Bhattacharyya; Lawrence Bower; Paul Browne; Matias Castro; Guy Cochrane; Karyn Duggan; Ruth Y. Eberhardt; Nadeem Faruque; Gemma Hoad; Carola Kanz; Charles Lee; Rasko Leinonen; Quan Lin; Vincent Lombard; Rodrigo Lopez; Dariusz Lorenc; Hamish McWilliam; Gaurab Mukherjee; Francesco Nardone; Maria Pilar Garcia Pastor; Sheila Plaister; Siamak Sobhany; Peter Stoehr

The EMBL Nucleotide Sequence Database () at the EMBL European Bioinformatics Institute, UK, offers a large and freely accessible collection of nucleotide sequences and accompanying annotation. The database is maintained in collaboration with DDBJ and GenBank. Data are exchanged between the collaborating databases on a daily basis to achieve optimal synchrony. Webin is the preferred tool for individual submissions of nucleotide sequences, including Third Party Annotation, alignments and bulk data. Automated procedures are provided for submissions from large-scale sequencing projects and data from the European Patent Office. In 2006, the volume of data has continued to grow exponentially. Access to the data is provided via SRS, ftp and variety of other methods. Extensive external and internal cross-references enable users to search for related information across other databases and within the database. All available resources can be accessed via the EBI home page at . Changes over the past year include changes to the file format, further development of the EMBLCDS dataset and developments to the XML format.


Nucleic Acids Research | 2006

EMBL Nucleotide Sequence Database: developments in 2005

Guy Cochrane; Philippe Aldebert; Nicola Althorpe; Mikael Andersson; Wendy Baker; Alastair Baldwin; Kirsty Bates; Sumit Bhattacharyya; Paul Browne; Alexandra van den Broek; Matias Castro; Karyn Duggan; Ruth Y. Eberhardt; Nadeem Faruque; John Gamble; Carola Kanz; Tamara Kulikova; Charles Lee; Rasko Leinonen; Quan Lin; Vincent Lombard; Rodrigo Lopez; Michelle McHale; Hamish McWilliam; Gaurab Mukherjee; Francesco Nardone; Maria Pilar Garcia Pastor; Siamak Sobhany; Peter Stoehr; Katerina Tzouvara

The EMBL Nucleotide Sequence Database () at the EMBL European Bioinformatics Institute, UK, offers a comprehensive set of publicly available nucleotide sequence and annotation, freely accessible to all. Maintained in collaboration with partners DDBJ and GenBank, coverage includes whole genome sequencing project data, directly submitted sequence, sequence recorded in support of patent applications and much more. The database continues to offer submission tools, data retrieval facilities and user support. In 2005, the volume of data offered has continued to grow exponentially. In addition to the newly presented data, the database encompasses a range of new data types generated by novel technologies, offers enhanced presentation and searchability of the data and has greater integration with other data resources offered at the EBI and elsewhere. In stride with these developing data types, the database has continued to develop submission and retrieval tools to maximise the information content of submitted data and to offer the simplest possible submission routes for data producers. New developments, the submission process, data retrieval and access to support are presented in this paper, along with links to sources of further information.


Nucleic Acids Research | 2007

Priorities for nucleotide trace, sequence and annotation data capture at the Ensembl Trace Archive and the EMBL Nucleotide Sequence Database

Guy Cochrane; Ruth Akhtar; Philippe Aldebert; Nicola Althorpe; Alastair Baldwin; Kirsty Bates; Sumit Bhattacharyya; James K. Bonfield; Lawrence Bower; Paul Browne; Matias Castro; Tony Cox; Fehmi Demiralp; Ruth Y. Eberhardt; Nadeem Faruque; Gemma Hoad; Mikyung Jang; Tamara Kulikova; Alberto Labarga; Rasko Leinonen; Steven Leonard; Quan Lin; Rodrigo Lopez; Dariusz Lorenc; Hamish McWilliam; Gaurab Mukherjee; Francesco Nardone; Sheila Plaister; Stephen Robinson; Siamak Sobhany

The Ensembl Trace Archive (http://trace.ensembl.org/) and the EMBL Nucleotide Sequence Database (http://www.ebi.ac.uk/embl/), known together as the European Nucleotide Archive, continue to see growth in data volume and diversity. Selected major developments of 2007 are presented briefly, along with data submission and retrieval information. In the face of increasing requirements for nucleotide trace, sequence and annotation data archiving, data capture priority decisions have been taken at the European Nucleotide Archive. Priorities are discussed in terms of how reliably information can be captured, the long-term benefits of its capture and the ease with which it can be captured.


BMC Bioinformatics | 2014

New mini- zincin structures provide a minimal scaffold for members of this metallopeptidase superfamily

Christine B. Trame; Yuanyuan Chang; Herbert L. Axelrod; Ruth Y. Eberhardt; Penelope Coggill; Marco Punta; Neil D. Rawlings

BackgroundThe Acel_2062 protein from Acidothermus cellulolyticus is a protein of unknown function. Initial sequence analysis predicted that it was a metallopeptidase from the presence of a motif conserved amongst the Asp-zincins, which are peptidases that contain a single, catalytic zinc ion ligated by the histidines and aspartic acid within the motif (HEXXHXXGXXD). The Acel_2062 protein was chosen by the Joint Center for Structural Genomics for crystal structure determination to explore novel protein sequence space and structure-based function annotation.ResultsThe crystal structure confirmed that the Acel_2062 protein consisted of a single, zincin-like metallopeptidase-like domain. The Met-turn, a structural feature thought to be important for a Met-zincin because it stabilizes the active site, is absent, and its stabilizing role may have been conferred to the C-terminal Tyr113. In our crystallographic model there are two molecules in the asymmetric unit and from size-exclusion chromatography, the protein dimerizes in solution. A water molecule is present in the putative zinc-binding site in one monomer, which is replaced by one of two observed conformations of His95 in the other.ConclusionsThe Acel_2062 protein is structurally related to the zincins. It contains the minimum structural features of a member of this protein superfamily, and can be described as a “mini- zincin”. There is a striking parallel with the structure of a mini-Glu-zincin, which represents the minimum structure of a Glu-zincin (a metallopeptidase in which the third zinc ligand is a glutamic acid). Rather than being an ancestral state, phylogenetic analysis suggests that the mini-zincins are derived from larger proteins.


Nature Structural & Molecular Biology | 2001

Characterization of a Cellulosome Dockerin Domain from the Anaerobic Fungus Piromyces Equi

S. Raghothama; Ruth Y. Eberhardt; Peter J. Simpson; Darran Wigelsworth; Peter W. White; Geoffrey P. Hazlewood; Tibor Nagy; Harry J. Gilbert; Michael P. Williamson

The recycling of photosynthetically fixed carbon in plant cell walls is a key microbial process. In anaerobes, the degradation is carried out by a high molecular weight multifunctional complex termed the cellulosome. This consists of a number of independent enzyme components, each of which contains a conserved dockerin domain, which functions to bind the enzyme to a cohesin domain within the protein scaffoldin protein. Here we describe the first three-dimensional structure of a fungal dockerin, the N-terminal dockerin of Cel45A from the anaerobic fungus Piromyces equi. The structure contains a novel fold of 42 residues. The ligand binding site consists of residues Trp 35, Tyr 8 and Asp 23, which are conserved in all fungal dockerins. The binding site is on the opposite side of the N- and C-termini of the molecule, implying that tandem dockerin domains, seen in the majority of anaerobic fungal plant cell wall degrading enzymes, could present multiple simultaneous binding sites and, therefore, permit tailoring of binding to catalytic demands.

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Alex Bateman

European Bioinformatics Institute

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Marco Punta

Wellcome Trust Sanger Institute

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Robert D. Finn

European Bioinformatics Institute

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John G. Tate

European Bioinformatics Institute

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Paul Browne

European Bioinformatics Institute

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Penelope Coggill

European Bioinformatics Institute

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Herbert L. Axelrod

SLAC National Accelerator Laboratory

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Francesco Nardone

European Bioinformatics Institute

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Guy Cochrane

European Bioinformatics Institute

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