History of the enzyme nomenclature system

Naming things is essential for people to understand one another, no matter what language or field of interest is involved. This is as true for enzymes, genes and chemicals as it is for birds, food, flowers, etc. Effective communication requires a lack of ambiguity, but, in practice, ambiguities abound even between people who use the same language in different parts of the world, or even within the same country. Whereas ambiguities in the words used for common objects or actions have been the basis for many, more-or-less memorable jokes, they can also cause a great deal of confusion. Such linguistic chaos is welcomed by many as being a part of a diverse heritage that should be preserved at all costs to prevent us from descending into Orwellian 'newspeak'. However, in the sciences, there are distinct advantages in others being able to understand what one is doing. Many groups have stressed the need for standardized, universally accepted systems of nomenclature in chemistry, genetics, enzymology, etc. However, it is the universal acceptance that usually causes the problem. It is rare to find people who will admit that they find nomenclature to be an interesting subject, but many who profess contempt for it will get very excited if it is suggested that their pet nomenclature should be changed in the interest of clarity or uniformity. This account will consider the development of the enzyme nomenclature system, its benefits, shortcomings and future prospects.     

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.     

The aldo-keto reductase (AKR) superfamily: an update

The aldo-keto reductases (AKRs) are one of three enzyme superfamilies encompassing a range of oxidoreductases. Members of the AKR superfamily are monomeric (alpha/beta)(8)-barrel proteins, about 320 amino acids in length, which bind NAD(P)(H) to metabolize an array of substrates. AKRs have been identified in vertebrates, invertebrates, plants, protozoa, fungi, eubacteria, and archaebacteria, implying that this is an ancient superfamily of enzymes. Earlier, in an attempt to clarify the confusion caused by multiple names for particular AKRs, we proposed a systematic and expandable nomenclature system to assign consistent designations to unique members of the AKR superfamily. Since then, the number of characterized AKRs has expanded to 105 proteins in 12 families. In addition, molecular cloning and genome sequencing projects have identified 125 potential AKR genes, many of which have no assigned function. The nomenclature system for the AKR superfamily is accepted by the Human Genome Project. Using the earlier described nomenclature system, we now provide an updated listing of AKRs and potential superfamily members.     

Serial analysis of zein by isoelectric focusing and sodium dodecyl sulfate gel electrophoresis

Zein, the major storage protein of maize (Zea mays L.) endosperm, was extracted from a number of inbreds with alcohol plus a reducing agent. Isoelectric focusing (IEF) separated total zeins into 41 components, while sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) separated total zeins into about 15 components. Each procedure gave characteristic patterns of zein bands for a number of maize inbreds. IEF and SDS-PAGE were used serially so that each band separated by IEF could be assayed as an individual SDS-PAGE sample. Some IEF bands revealed only a single band after SDS-PAGE, while others revealed two or more bands. A nomenclature system is presented which integrates the two separation systems with information about chromosome locations of zein genes, maize mutations which affect zein synthesis, and inbred sources for different zeins. SDS-PAGE of zein gives apparent molecular masses which vary widely according to the standards used and the properties of the gels, therefore an artificial nomenclature for identifying zein bands after SDS-PAGE is presented. The new nomenclature provides a flexible system which is useful and can be conveniently used in different laboratories.     

SugarBind database (SugarBindDB): a resource of pathogen lectins and corresponding glycan targets

SugarBindDB lists pathogen and biotoxin lectins and their carbohydrate ligands in a searchable format. Information is collected from articles published in peer‐reviewed scientific journals. Help files guide the user through the search process and provide a review of structures and names of sugars that appear in human oligosaccharides. Glycans are written in the condensed form of the carbohydrate nomenclature system developed by the International Union of Pure and Applied Chemistry (IUPAC). Since its online publication by The MITRE Corporation in 2005, the database has served as a resource for research on the glycobiology of infectious disease. SugarBindDB is currently hosted by the Swiss Institute of Bioinformatics on the ExPASy server and will be enhanced and linked to related resources as part of the wider UniCarbKB initiative. Enhancements will include the option to display glycans in a variety of formats, including modified 2D condensed IUPAC and symbolic nomenclature. Copyright © 2013 John Wiley & Sons, Ltd.     

The aldo-keto reductase (AKR) superfamily: an update

The aldo-keto reductases (AKRs) are one of three enzyme superfamilies encompassing a range of oxidoreductases. Members of the AKR superfamily are monomeric (α/β)₈-barrel proteins, about 320 amino acids in length, which bind NAD(P)(H) to metabolize an array of substrates. AKRs have been identified in vertebrates, invertebrates, plants, protozoa, fungi, eubacteria, and archaebacteria, implying that this is an ancient superfamily of enzymes. Earlier, in an attempt to clarify the confusion caused by multiple names for particular AKRs, we proposed a systematic and expandable nomenclature system to assign consistent designations to unique members of the AKR superfamily. Since then, the number of characterized AKRs has expanded to 105 proteins in 12 families. In addition, molecular cloning and genome sequencing projects have identified 125 potential AKR genes, many of which have no assigned function. The nomenclature system for the AKR superfamily is accepted by the Human Genome Project. Using the earlier described nomenclature system, we now provide an updated listing of AKRs and potential superfamily members. Information is also available at http://www.med.upenn.edu/akr.     

How objective are genera in euascomycetes?

Intra- and intergeneric distances derived from maximum-likelihood phylogenetic trees inferred from 254 nuclear ITS rDNA sequences were examined for seven families of euascomycetes, representing five classes. The intra- and intergeneric distances were well separated in most cases, but the distances varied between families. The analysis of the distance distributions provides a powerful tool for identifying certain taxa with highly deviating distances and thus cases of excessive lumping or splitting. Some cases of lumping and splitting found in different families are briefly discussed. The results of the analysis show that the generic concepts differ between the families. The consequences for nomenclature are discussed and a method abandoning binomial nomenclature while keeping the style of species names is recommended to ensure nomenclatural stability.     

A proposed unified nomenclature for the enamelled components of the molar teeth of the Cricetidae (Rodentia)

The primitive topography of the enamelled surface of molar teeth of the Cricetidae is described as expressed in the fossil Cricetodontinae. Morphological variations in the molar structure of different subgroups among the Cricetidae are interpreted as derivations from this cricetodontine pattern. Eleven available naming systems for such components are surveyed, and a new unifying nomenclature is proposed, based on the Cope-Osborn cusp homologies for mammals. Names for enamel cusps, cuspules, styles, lophs, folds and islands are given, in an attempt to include in an overall general nomenclature the advantages of the most valuable, already available, nomenclatorial systems. The system purports to apply to all modifications of the cricetid crown molar pattern, and it claims to fulfil the need for a uniform nomenclature.     

Myosin-I nomenclature

We suggest that the vertebrate myosin-I field adopt a common nomenclature system based on the names adopted by the Human Genome Organization (HUGO). At present, the myosin-I nomenclature is very confusing; not only are several systems in use, but several different genes have been given the same name. Despite their faults, we believe that the names adopted by the HUGO nomenclature group for genome annotation are the best compromise, and we recommend universal adoption.     

Should taxon names be explicitly defined?

Overviews are provided for traditional and phylogenetic nomenclature. In traditional nomenclature, a name is provided with a type and a rank. In the rankless phylogenetic nomenclature, a taxon name is provided with an explicit phylogenetic definition, which attaches the name to a clade. Linnaeus’s approach to nomenclature is also reviewed, and it is shown that, although the current system of nomenclature does use some Linnaean conventions (e.g., certain rank-denoting terms, binary nomenclature), it is actually quite different from Linnaean nomenclature. The primary differences between traditional and phylogenetic nomenclature are reviewed. In phylogenetic nomenclature, names are provided with explicit phylogenetic definitions, whereas in traditional nomenclature names are not explicitly defined. In phylogenetic nomenclature, a name remains attached to a clade regardless of how future changes in phylogeny alter the clade’s content; in traditional nomenclature a name is not “married” to any particular clade. In traditional nomenclature, names must be assigned ranks (an admittedly arbitrary process), whereas in phylogenetic nomenclature there are no formal ranks. Therefore, in phylogenetic nomenclature, the name itself conveys no hierarchical information, and the name conveys nothing regarding set exclusivity. It is concluded that the current system is better able to handle new and unexpected changes in ideas about taxonomic relationships. This greater flexibility, coupled with the greater information content that the names themselves (i.e., when used outside the context of a given taxonomy or phytogeny) provide, makes the current system better designed for use by all users of taxon names.     

A molecular builder for carbohydrates: Application to polysaccharides and complex carbohydrates

A new procedure (POLYS) for producing three-dimensional structures of polysaccharides and complex carbohydrates is described. This employs a builder concept combining a database of monosaccharide structures with a database containing information on populations of independent neighboring glycosidic linkages in disaccharide fragments. The computer program is written in C, and it can cope with both the complexity and the diversity of carbohydrates and the unique topological features arising from multiple branching. A simple ASCII syntax was developed for describing the primary structures in accordance with IUPAC nomenclature. The translation of the primary structure is made through the combined use of a lexical analyzer and a command interpreter. In this way the program can be considered as a compiler of primary structures of carbohydrates. However, it also generates secondary and tertiary structures in the form of Cartesian coordinates in formats used by most molecular mechanics programs and packages. In our laboratory POLYS was exhaustively tested on standard homopolysaccharide systems such as cellulose and mannan and found to work very well. We now report the ease of use and the efficiency of the molecular builder in applications to more complex carbohydrate systems. These include the structural exploration of a pentaantennary oligosaccharide having 135 residues, the complex family of pectic polysaccharides including the organization and distribution of side chains (arabinan, arabinogalactan, and galactan) on the rhamnogalacturonan backbone. © 1996 John Wiley & Sons, Inc.     

A cautionary note on the correct structure assignment of phytoprostanes and the emergence of a new prostane ring system

Considerable confusion exists about the correct structural representation of phytoprostanes (PhytoP). Improper use of the different nomenclature systems leads to incorrect structure assignment of PhytoP, which results in wrong synthetic approaches to these molecules and may lead to wrong rationalization of biological activity. A new prostane ring system was found, which is proposed to be termed L₁-PhytoP or L₂-IsoP, respectively.     

27-Hydroxycholesterol,does it exist? On the nomenclature and stereochemistry of 26-hydroxylated sterols

Significant ambiguity exists in the scientific community with regard to the nomenclature of 26-hydroxylated oxysterols. Oxysterols constitute an important class of compounds that have biological roles in the regulation of cholesterol synthesis and as endogenous selective estrogen receptor modulators (SERMs). The ambiguity is attributable to deviations from clearly stated IUPAC rules and is likely to increase as more biologically active oxysterols are identified. This review provides a uniform approach to the naming of 26-hydroxylated sterols for those of current interest and for those on the horizon such as oxysterols of lanosterol that retain the unsaturation at C-24 and C-25 such as (E)-26-hydroxylanosterol. Using this molecule as a starting point, this review hopes to establish a common language to keep all investigators on the same page.     

Development and assignment of bovine-specific PCR systems for the Texas nomenclature marker genes and isolation of homologous BAC probes

In 1996, Popescu et al. published the Texas standard nomenclature of the bovine karyotype in which 31 marker genes, already mapped in man, were chosen to permit unambiguous identification and numbering of each bovine chromosome. However, specific PCR systems were not available for each marker gene thus preventing the assignment of part of these markers by somatic cell hybrid analysis. In addition, some difficulties remained with the nomenclature of BTA25, BTA27 and BTA29. In this work, specific PCR systems were developed for each of the marker genes except VIL1 (see results), from either existing bovine or human sequences, and a bovine BAC library was screened to obtain the corresponding BAC clones. These PCR systems were used successfully to confirm the assignment of each marker gene (except for LDHA, see results) by analysis on the INRA hamster-bovine somatic cell hybrid panel. The difficulties observed for LDHA and VIL1 are probably due to the fact that these genes belong to large gene families and therefore suggest that they may not be the most appropriate markers for a standardisation effort. This panel of BACs is available to the scientific community and has served as a basis for the establishment of a revised standard nomenclature of bovine chromosomes.     

The P450 superfamily: update on new sequences, gene mapping, and recommended nomenclature

We provide here a list of 154 P450 genes and seven putative pseudogenes that have been characterized as of October 20, 1990. These genes have been described in a total of 23 eukaryotes (including nine mammalian and one plant species) and six prokaryotes. Of 27 gene families so far described, 10 exist in all mammals. These 10 families comprise 18 subfamilies, of which 16 and 14 have been mapped in the human and mouse genomes, respectively; to date, each subfamily appears to represent a cluster of tightly linked genes. We propose here a modest revision of the initially proposed (Nebert et al., DNA 6, 1-11, 1987) and updated (Nebert et al., DNA 8, 1-13, 1989) nomenclature system based on evolution of the superfamily. For the gene we recommend that the italicized root symbol CYP for human (Cyp for mouse), representing cytochrome P450, be followed by an Arabic number denoting the family, a letter designating the subfamily (when two or more exist), and an Arabic numeral representing the individual gene within the subfamily. A hyphen should precede the final number in mouse genes. We suggest that the human nomenclature system be used for other species. This system is consistent with our earlier proposed nomenclature for P450 of all eukaryotes and prokaryotes, except that we are discouraging the future use of cumbersome Roman numerals.     

Isoprostanes,neuroprostanes and phytoprostanes: An overview of 25 years of research in chemistry and biology

Since the beginning of the 1990's diverse types of metabolites originating from polyunsaturated fatty acids, formed under autooxidative conditions were discovered. Known as prostaglandin isomers (or isoprostanoids) originating from arachidonic acid, neuroprostanes from docosahexaenoic acid, and phytoprostanes from α-linolenic acid proved to be prevalent in biology. The syntheses of these compounds by organic chemists and the development of sophisticated mass spectrometry methods has boosted our understanding of the isoprostanoid biology. In recent years, it has become accepted that these molecules not only serve as markers of oxidative damage but also exhibit a wide range of bioactivities. In addition, isoprostanoids have emerged as indicators of oxidative stress in humans and their environment. This review explores in detail the isoprostanoid chemistry and biology that has been achieved in the past three decades.     

Toward a consensus nomenclature for insect neuropeptides and peptide hormones

The nomenclature currently in use for insect neuropeptide and peptide hormone families is reviewed and suggestions are made as to how it can be rationalized. Based upon this review, a number of conventions are advanced as a guide to a more rationale nomenclature. The scheme that is put forward builds upon the binomial nomenclature scheme proposed by Raina and Gäde in 1988 [100], when just over 20 insect neuropeptides had been identified. Known neuropeptides and peptide hormones are assigned to 32 structurally distinct families, frequently with overlapping functions. The names given to these families are those that are currently in use, and describe a biological function, homology to known invertebrate/vertebrate peptides, or a conserved structural motif. Interspecific isoforms are identified using a five-letter code to indicate genus and species names, and intraspecific isoforms are identified by Roman or Arabic numerals, with the latter used to signify the order in which sequences are encoded on a prepropeptide. The proposed scheme is sufficiently flexible to allow the incorporation of novel peptides, and could be extended to other arthropods and non-arthropod invertebrates.     

Increase in peripheral oxidative stress during hypercholesterolemia is not reflected in the central nervous system: evidence from two mouse models

In recent years oxidative stress has been widely implicated as a pathogenetic mechanism of several diseases, and a variety of indices and assays have been developed to assess this phenomenon in complex biological systems. Most of these biomarkers can be measured virtually in every biological fluid and tissue, providing us with the opportunity to assess their formation at local site of oxidative injury. However, despite their widespread use, it is still not completely clear how their peripheral formation correlates with the levels measured in the central nervous system. For this reason, we utilized two well-characterized animal models of chronic peripheral oxidative stress, low-density lipoprotein receptor (LDLR)-deficient and C57BL/6 mice on a high fat diet. After 8 weeks on the diet, we assessed isoprostane, marker of lipid peroxidation, and carbonyls, marker of protein oxidation, in several organs of these animals. Compared with animals on chow, mice on the high fat diet showed a significant increase in both biomarkers in plasma, heart, aorta and liver but not in brain tissues. This observation was confirmed by the selective accumulation of radioactivity in the peripheral organs but not in the brains of mice injected with tritiated isoprostane. Our findings indicate that in hypercholesterolemia the peripheral formation of oxidative products does not contribute to their levels found in the central nervous system.     

A new and unified nomenclature for male fertility restorer (RF) proteins in higher plants

The male fertility restorer (RF) proteins belong to extended protein families associated with the cytoplasmic male sterility in higher plants. Up till now, there is no devised nomenclature for naming the RF proteins. The systematic sequencing of new plant species in recent years has uncovered the existence of several novel RF genes and their encoded proteins. Their naming has been simply arbitrary and could not be adequately handled in the context of comparative functional genomics. We propose in this study a unified nomenclature for the RF extended protein families across all plant species. This new and unified nomenclature relies upon previously developed nomenclature for the first ever characterized RF gene, RF2A/ALDH2B2, a member of ALDH gene superfamily, and adheres to the guidelines issued by the ALDH Genome Nomenclature Committees. The proposed nomenclature reveals that RF gene superfamily encodes currently members of 51 families. This unified nomenclature accommodates functional RF genes and pseudogenes, and offers the flexibility needed to incorporate additional RFs as they become available in future. In addition, we provide a phylogenetic relationship between the RF extended families and use computational protein modeling to demonstrate the high divergence of RF functional specializations through specific structural features of selected members of RF superfamily.