The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database.

The MEROPS database (http://www.ebi.ac.uk/merops/) is an integrated source of information about peptidases, their substrates and inhibitors. The hierarchical classification is: protein-species, family, clan, with an identifier at each level. The MEROPS website moved to the EMBL-EBI in 2017, requiring refactoring of the code-base and services provided. The interface to sequence searching has changed and the MEROPS protein sequence libraries can be searched at the EMBL-EBI with HMMER, FastA and BLASTP. Cross-references have been established between MEROPS and the PANTHER database at both the family and protein-species level, which will help to improve curation and coverage between the resources. Because of the increasing size of the MEROPS sequence collection, in future only sequences of characterized proteins, and from completely sequenced genomes of organisms of evolutionary, medical or commercial significance will be added. As an example, peptidase homologues in four proteomes from the Asgard superphylum of Archaea have been identified and compared to other archaean, bacterial and eukaryote proteomes. This has given insights into the origins and evolution of peptidase families, including an expansion in the number of proteasome components in Asgard archaeotes and as organisms increase in complexity. Novel structures for proteasome complexes in archaea are postulated.

Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.

The MEROPS database (http://merops.sanger.ac.uk) is an integrated source of information about peptidases, their substrates and inhibitors, which are of great relevance to biology, medicine and biotechnology. The hierarchical classification of the database is as follows: homologous sets of sequences are grouped into a protein species; protein species are grouped into a family; families are grouped into clans. There is a type example for each protein species (known as a 'holotype'), family and clan, and each protein species, family and clan has its own unique identifier. Pages to show the involvement of peptidases and peptidase inhibitors in biological pathways have been created. Each page shows the peptidases and peptidase inhibitors involved in the pathway, along with the known substrate cleavages and peptidase-inhibitor interactions, and a link to the KEGG database of biological pathways. Links have also been established with the IUPHAR Guide to Pharmacology. A new service has been set up to allow the submission of identified substrate cleavages so that conservation of the cleavage site can be assessed. This should help establish whether or not a cleavage site is physiologically relevant on the basis that such a cleavage site is likely to be conserved.

Using the MEROPS Database for Proteolytic Enzymes and Their Inhibitors and Substrates.

MEROPS is a database of proteolytic enzymes as well as their inhibitors and substrates. Proteolytic enzymes and protein inhibitors are organized into protein domain families. In turn, families are organized into clans. Each peptidase, inhibitor, family, and clan has associated annotation, a multiple sequence alignment, a phylogenetic tree, literature references, and links to other databases. Interactions between proteolytic enzymes and inhibitors and between proteolytic enzymes and substrates are also presented. The entries in MEROPS are available via the World Wide Web. This unit contains detailed information on how to access and utilize the information present in the MEROPS database. Details on running MEROPS both remotely and locally are presented.

MEROPS: the database of proteolytic enzymes, their substrates and inhibitors.

Peptidases, their substrates and inhibitors are of great relevance to biology, medicine and biotechnology. The MEROPS database (http://merops.sanger.ac.uk) aims to fulfill the need for an integrated source of information about these. The database has hierarchical classifications in which homologous sets of peptidases and protein inhibitors are grouped into protein species, which are grouped into families, which are in turn grouped into clans. Recent developments include the following. A community annotation project has been instigated in which acknowledged experts are invited to contribute summaries for peptidases. Software has been written to provide an Internet-based data entry form. Contributors are acknowledged on the relevant web page. A new display showing the intron/exon structures of eukaryote peptidase genes and the phasing of the junctions has been implemented. It is now possible to filter the list of peptidases from a completely sequenced bacterial genome for a particular strain of the organism. The MEROPS filing pipeline has been altered to circumvent the restrictions imposed on non-interactive blastp searches, and a HMMER search using specially generated alignments to maximize the distribution of organisms returned in the search results has been added.

MEROPS: the database of proteolytic enzymes, their substrates and inhibitors.

Peptidases, their substrates and inhibitors are of great relevance to biology, medicine and biotechnology. The MEROPS database (http://merops.sanger.ac.uk) aims to fulfil the need for an integrated source of information about these. The database has hierarchical classifications in which homologous sets of peptidases and protein inhibitors are grouped into protein species, which are grouped into families, which are in turn grouped into clans. The database has been expanded to include proteolytic enzymes other than peptidases. Special identifiers for peptidases from a variety of model organisms have been established so that orthologues can be detected in other species. A table of predicted active-site residue and metal ligand positions and the residue ranges of the peptidase domains in orthologues has been added to each peptidase summary. New displays of tertiary structures, which can be rotated or have the surfaces displayed, have been added to the structure pages. New indexes for gene names and peptidase substrates have been made available. Among the enhancements to existing features are the inclusion of small-molecule inhibitors in the tables of peptidase-inhibitor interactions, a table of known cleavage sites for each protein substrate, and tables showing the substrate-binding preferences of peptidases derived from combinatorial peptide substrate libraries.

MEROPS: the peptidase database.

Peptidases, their substrates and inhibitors are of great relevance to biology, medicine and biotechnology. The MEROPS database (http://merops.sanger.ac.uk) aims to fulfil the need for an integrated source of information about these. The database has a hierarchical classification in which homologous sets of peptidases and protein inhibitors are grouped into protein species, which are grouped into families, which are in turn grouped into clans. The classification framework is used for attaching information at each level. An important focus of the database has become distinguishing one peptidase from another through identifying the specificity of the peptidase in terms of where it will cleave substrates and with which inhibitors it will interact. We have collected over 39,000 known cleavage sites in proteins, peptides and synthetic substrates. These allow us to display peptidase specificity and alignments of protein substrates to give an indication of how well a cleavage site is conserved, and thus its probable physiological relevance. While the number of new peptidase families and clans has only grown slowly the number of complete genomes has greatly increased. This has allowed us to add an analysis tool to the relevant species pages to show significant gains and losses of peptidase genes relative to related species.

MEROPS: the peptidase database.

Peptidases (proteolytic enzymes or proteases), their substrates and inhibitors are of great relevance to biology, medicine and biotechnology. The MEROPS database (http://merops.sanger.ac.uk) aims to fulfil the need for an integrated source of information about these. The organizational principle of the database is a hierarchical classification in which homologous sets of peptidases and protein inhibitors are grouped into protein species, which are grouped into families and in turn grouped into clans. Important additions to the database include newly written, concise text annotations for peptidase clans and the small molecule inhibitors that are outside the scope of the standard classification; displays to show peptidase specificity compiled from our collection of known substrate cleavages; tables of peptidase-inhibitor interactions; and dynamically generated alignments of representatives of each protein species at the family level. New ways to compare peptidase and inhibitor complements between any two organisms whose genomes have been completely sequenced, or between different strains or subspecies of the same organism, have been devised.

'Species' of peptidases.

A good system for the naming and classification of peptidases can contribute much to the study of these enzymes. Having already described the building of families and clans in the MEROPS system, we here focus on the lowest level in the hierarchy, in which the huge number of individual peptidase proteins are assigned to a lesser number of what we term 'species' of peptidases. Just over 2000 peptidase species are recognised today, but we estimate that 25 000 will one day be known. Each species is built around a peptidase protein that has been adequately characterised. The cluster of peptidase proteins that represent the single species is then assembled primarily by analysis of a sequence 'tree' for the family. Each peptidase species is given a systematic identifier and a summary page of data regarding it is assembled. Because the characterisation of new peptidases lags far behind the sequencing, the majority of peptidase proteins are so far known only as amino acid sequences and cannot yet be assigned to species. We suggest that new forms of analysis of the sequences of the unassigned peptidases may give early indications of how they will cluster into the new species of the future.

MEROPS: the peptidase database.

Peptidases (proteolytic enzymes) and their natural, protein inhibitors are of great relevance to biology, medicine and biotechnology. The MEROPS database (http://merops.sanger.ac.uk) aims to fulfil the need for an integrated source of information about these proteins. The organizational principle of the database is a hierarchical classification in which homologous sets of proteins of interest are grouped into families and the homologous families are grouped in clans. The most important addition to the database has been newly written, concise text annotations for each peptidase family. Other forms of information recently added include highlighting of active site residues (or the replacements that render some homologues inactive) in the sequence displays and BlastP search results, dynamically generated alignments and trees at the peptidase or inhibitor level, and a curated list of human and mouse homologues that have been experimentally characterized as active. A new way to display information at taxonomic levels higher than species has been devised. In the Literature pages, references have been flagged to draw attention to particularly 'hot' topics.

Bioinformatics of proteases in the MEROPS database.

Proteolytic enzymes represent approximately approximately 2% of the total number of proteins present in all types of organisms. Many of these enzymes are of medical importance, and those that are of potential interest as drug targets can be divided into the endogenous enzymes encoded in the human genome, and the exogenous proteases encoded in the genomes of disease-causing organisms. There are also naturally occurring inhibitors of proteases, some of which have pharmaceutical relevance. The MEROPS database provides a rich source of information on proteases and their inhibitors. Storage and retrieval of this information is facilitated by the use of a hierarchical classification system (which was pioneered by the compilers of the database) in which homologous proteases and their inhibitors are divided into clans and families.

Evolutionary families of peptidase inhibitors.

The proteins that inhibit peptidases are of great importance in medicine and biotechnology, but there has never been a comprehensive system of classification for them. Some of the terminology currently in use is potentially confusing. In the hope of facilitating the exchange, storage and retrieval of information about this important group of proteins, we now describe a system wherein the inhibitor units of the peptidase inhibitors are assigned to 48 families on the basis of similarities detectable at the level of amino acid sequence. Then, on the basis of three-dimensional structures, 31 of the families are assigned to 26 clans. A simple system of nomenclature is introduced for reference to each clan, family and inhibitor. We briefly discuss the specificities and mechanisms of the interactions of the inhibitors in the various families with their target enzymes. The system of families and clans of inhibitors described has been implemented in the MEROPS peptidase database (http://merops.sanger.ac.uk/), and this will provide a mechanism for updating it as new information becomes available.

MEROPS: the peptidase database.

Peptidases (proteolytic enzymes) are of great relevance to biology, medicine and biotechnology. This practical importance creates a need for an integrated source of information about them, and also about their natural inhibitors. The MEROPS database (http://merops.sanger.ac.uk) aims to fill this need. The organizational principle of the database is a hierarchical classification in which homologous sets of the proteins of interest are grouped in families and the homologous families are grouped in clans. Each peptidase, family and clan has a unique identifier. The database has recently been expanded to include the protein inhibitors of peptidases, and these are classified in much the same way as the peptidases. Forms of information recently added include new links to other databases, summary alignments for peptidase clans, displays to show the distribution of peptidases and inhibitors among organisms, substrate cleavage sites and indexes for expressed sequence tag libraries containing peptidases. A new way of making hyperlinks to the database has been devised and a BlastP search of our library of peptidase and inhibitor sequences has been added.

Managing peptidases in the genomic era.

The enzymes that hydrolyse peptide bonds, called peptidases or proteases, are very important to mankind and are also very numerous. The many scientists working on these enzymes are rapidly acquiring new data, and they need good methods to store it and retrieve it. The storage and retrieval require effective systems of classification and nomenclature, and it is the design and implementation of these that we mean by 'managing' peptidases. Ten years ago Rawlings and Barrett proposed the first comprehensive system for the classification of peptidases, which included a set of simple names for the families. In the present article we describe how the system has developed since then. The peptidase classification has now been adopted for use by many other databases, and provides the structure around which the MEROPS protease database (http://merops.sanger.ac.uk) is built.

A comparison of Pfam and MEROPS: two databases, one comprehensive, and one specialised.

BACKGROUND: We wished to compare two databases based on sequence similarity: one that aims to be comprehensive in its coverage of known sequences, and one that specialises in a relatively small subset of known sequences. One of the motivations behind this study was quality control. Pfam is a comprehensive collection of alignments and hidden Markov models representing families of proteins and domains. MEROPS is a catalogue and classification of enzymes with proteolytic activity (peptidases or proteases). These secondary databases are used by researchers worldwide, yet their contents are not peer reviewed. Therefore, we hoped that a systematic comparison of the contents of Pfam and MEROPS would highlight missing members and false-positives leading to improvements in quality of both databases. An additional reason for carrying out this study was to explore the extent of consensus in the definition of a protein family. RESULTS: About half (89 out of 174) of the peptidase families in MEROPS overlapped single Pfam families. A further 32 MEROPS families overlapped multiple Pfam families. Where possible, new Pfam families were built to represent most of the MEROPS families that did not overlap Pfam. When comparing the numbers of sequences found in the overlap between a MEROPS family and its corresponding Pfam family, in most cases the overlap was substantial (52 pairs of MEROPS and Pfam families had an intersection size of greater than 75% of the union) but there were some differences in the sets of sequences included in the MEROPS families versus the overlapping Pfam families. CONCLUSIONS: A number of the discrepancies between MEROPS families and their corresponding Pfam families arose from differences in the aims and philosophies of the two databases. Examination of some of the discrepancies highlighted additional members of families, which have subsequently been added in both Pfam and MEROPS. This has led to improvements in the quality of both databases. Overall there was a great deal of consensus between the databases in definitions of a protein family.

Pyroglutamyl-peptidase I: cloning, sequencing, and characterisation of the recombinant human enzyme.

Pyroglutamyl-peptidase I (EC 3.4.19.3) is well known from bacteria and archaea, but has not previously been cloned or sequenced from any vertebrate. We describe the cloning and sequencing of the human (AJ278828) and mouse (AJ278829) forms of pyroglutamyl-peptidase I. The deduced amino acid sequences each consist of 209 residues and show approximately 30% identity with bacterial forms of the enzyme. They show clear homology to the enzyme from prokaryotes and place the mammalian forms of the enzyme in peptidase family C15 of the MEROPS database. The catalytic residues Glu81, Cys144, and His166 in the enzyme from Bacillus amyloliquefaciens are all conserved in the human sequence. A simple cartoon model of the human protein was constructed on the basis of the published crystal structures of pyroglutamyl-peptidase I forms from Thermococcus litoralis and B. amyloliquefaciens. The human enzyme was expressed by use of a baculovirus vector in Spodoptera frugiperda cells. The recombinant protein was enzymatically active and had properties similar to those described for the naturally occurring mammalian enzyme. Gel-filtration chromatography of the active enzyme gave a molecular mass of about 24kDa, showing that the enzyme is active as the monomer. This contrasted with indications that the prokaryotic enzymes may be tetrameric. Recombinant human pyroglutamyl-peptidase I was active on pGlu-aminomethylcoumarin in the range pH 6-9, with maximal activity being seen at pH 7.0-8.5; it showed an absolute requirement for a thiol-reducing agent. In crude preparations, the enzyme was completely stable for 90 min at 50 degrees C. The enzyme was inhibited by transition metal ions including Ni(2+), Zn(2+), and Cu(2+), and by sulfhydryl-blocking agents. Reversible inhibition was seen with 2-pyrrolidone (K(i)=50 microM), and surprisingly, with N-ethylmaleimide (K(i)=30 microM).

Aza-peptide epoxides: potent and selective inhibitors of Schistosoma mansoni and pig kidney legumains (asparaginyl endopeptidases).

Aza-peptide epoxides are a new class of irreversible cysteine protease inhibitors. Derivatives containing a P1 aza-asparagine residue are specific for Schistosoma mansoni and pig kidney legumains, which are clan CD cysteine proteases. The inhibitors have second-order rate constants of up to 10(4) M(-1) s(-1) with pig kidney legumain and IC50 values as low as 45 nM with S. mansoni legumain. The most potent epoxides contain an ester moiety with S,S stereochemistry attached to the epoxide. Interestingly, amide and amino acid derivatives of the epoxysuccinate moiety were not inhibitors of legumain, while disubstituted amide derivatives are quite potent. The inhibitors have little or no inhibitory activity with other proteases such as caspases, chymotrypsin, papain, cathepsin B, granzyme B, and various aspartyl proteases.

Aza-peptide epoxides: a new class of inhibitors selective for clan CD cysteine proteases.

Aza-peptide epoxides, a new class of irreversible protease inhibitors, are specific for the clan CD cysteine proteases. The inhibitors have second-order rate constants up to 10(5) M(-1) s(-1), with the most potent epoxides having the S,S stereochemistry. The aza-Asn derivatives are effective legumain inhibitors, while the aza-Asp epoxides were specific for caspases. The inhibitors have little or no inhibition with other proteases such as chymotrypsin, papain, or cathepsin B.

MEROPS: the protease database.

The MEROPS database (http://www.merops.ac.uk) has been redesigned to accommodate increased amounts of information still in pages of moderate size that load rapidly. The information on each PepCard, FamCard or ClanCard has been divided between several sub-pages that can be reached by use of navigation buttons in a frame at the top of the screen. Several important additions have also been made to the database. Amongst these are CGI searches that allow the user to find a peptidase by name, its MEROPS identifier or its human or mouse chromosome location. The user may also list all published tertiary structures for a peptidase clan or family, and search for peptidase specificity data by entering either a peptidase name, substrate or bond cleaved. The PepCards, FamCards and ClanCards now have literature pages listing about 10 000 key papers in total, mostly with links to MEDLINE. Many PepCards now include a protein sequence alignment and data table for matching human, mouse or rat expressed sequence tags. FamCards and ClanCards contain Structure pages showing diagrammatic representations of known secondary structures of member peptidases or family type examples, respectively. Many novel peptidases have been added to the database after being discovered in complete genomes, libraries of expressed sequence tags or data from high-throughput genomic sequencing, and we describe the methods by which these were found.

Families and clans of cysteine peptidases.

The known cysteine peptidases have been classified into 35 sequence families. We argue that these have arisen from at least five separate evolutionary origins, each of which is represented by a set of one or more modern-day families, termed a clan. Clan CA is the largest, containing the papain family, C1, and others with the Cys/His catalytic dyad. Clan CB (His/Cys dyad) contains enzymes from RNA viruses that are distantly related to chymotrypsin. The peptidases of clan CC are also from RNA viruses, but have papain-like Cys/His catalytic sites. Clans CD and CE contain only one family each, those of interleukin-1ß-converting enzyme and adenovirus L3 proteinase, respectively. A few families cannot yet be assigned to clans. In view of the number of separate origins of enzymes of this type, one should be cautious in generalising about the catalytic mechanisms and other properties of cysteine peptidases as a whole. In contrast, it may be safer to generalise for enzymes within a single family or clan.