HSDB is a toxicology data file on the National Library of Medicine's (NLM) Toxicology Data Network (TOXNET®). It focuses on the toxicology of potentially hazardous chemicals. It is enhanced with information on human exposure, industrial hygiene, emergency handling procedures, environmental fate, regulatory requirements, and related areas. All data are referenced and derived from a core set of books, government documents, technical reports and selected primary journal literature. HSDB is peer-reviewed by the Scientific Review Panel (SRP), a committee of experts in the major subject areas within the data bank's scope. HSDB is organized into individual chemical records, and contains over 5000 such records. ... [Information of the supplier]
The potential of a pesticide or biocide to cause adverse effects in the developing embryo or fetus is an important consideration in any health risk assessment for humans and wildlife. Such information is usually derived from experimental studies in which pregnant laboratory animals are exposed to various concentrations of compounds during critical stages of fetal development. The terms and diagnostic criteria used to describe fetal anomalies need to be consistent from one laboratory to another. Consequently, the DevTox Project has three main objectives: To harmonize the nomenclature used to describe developmental anomalies in laboratory animals, to assist in the visual recognition of developmental anomalies with the aid of photographs, and to provide a historical control database of developmental effects in laboratory animals. ... [Information of the supplier]
Database of Bacterial ExoToxins for Human (DBETH) is a database of sequences, structures, interaction networks and analytical results for 229 exotoxins, from 26 different human pathogenic bacterial genus. All toxins are classified into 24 different Toxin classes. The aim of DBETH is to provide a comprehensive database for human pathogenic bacterial exotoxins. DBETH also provides a platform to its users to identify potential exotoxin like sequences through Homology based as well as Non-homology based methods. In homology based approach the users can identify potential exotoxin like sequences either running BLASTp against the toxin sequences or by running HMMER against toxin domains identified by DBETH from human pathogenic bacterial exotoxins. In Non-homology based part DBETH uses a machine learning approach to identify potential exotoxins (Toxin Prediction by Support Vector Machine based approach). ... [Information of the supplier]
This database is primary aimed at providing an exhaustive and updated registry of sequence variants identified in auto-inflammatory disorder related genes. Since we believe that an attempt to retrieve phenotypical information from all patients identified throughout the world would be an impossible task, we chose to allow only one inclusion per variant (duplicates are automatically rejected), although we allocated a short space for clinical information on the initial patient. The relatively high number of variants with unknown associated phenotype likely stems from the fact that most data are submitted by laboratories performing genetic diagnosis, which do not always have relevant clinical information about the patients. Conversely, a number of apparently simple polymorphisms, i.e. intronic variants not located in splice acceptor or donor sites and silent mutations, were found in symptomatic individuals during the diagnostic test. Since functional experiments are generally lacking, we cannot rule out that these variants do not alter regulatory splice elements, thus acting as true mutations. For all these reasons, we recommend that this database should not be used as a reference for phenotype-genotype correlation. ... [Information of the supplier]
The purpose is the creation of a comprehensive computer supported decision/help system for pharmacotherapy and clinical toxicology. At present, CliniPharm/CliniTox has the following components: 1) an animal medicine compendium for Switzerland; 2) specialist information about therapeutic substances; 3) CliniTox, a computer supported decision/help system for the management of cases of poisoning in animals (incl. a poisonous plant database that contains, besides relevant veterinary medical data, botanical information as well as pictures of the individual plants. Because of the multilingual nature of Switzerland the plants can be searched for not only by their scientific names, but also by their common German, French, Italian, and English names.) ... [Information of the supplier, translated and modified]
The Ecological Database of the World's Insect Pathogens (EDWIP) offers information on fungi, viruses, protozoa, mollicutes, nematodes, and bacteria¹ that are infectious in insects, mites, and related arthropods. Data in EDWIP include associations (or lack thereof) between pathogenic organisms and insect, mite, and other arthropod hosts. EDWIP also includes information on where associations have been observed, stages and tissues of hosts infected, and habitats and host ranges of the arthropod hosts. Association and nonassociation data in EDWIP are supported by bibliographic citations. All areas of the database are searchable. (....) ¹Because of the tremendous volume of information available on the bacterial pathogen Bacillus thuringiensis, we have excluded this species from EDWIP. For informaton on Bt, see the Canadian Forest Service's Bt Toxin Specificity Database. ... [Information of the supplier]
The ECOTOXicology database (ECOTOX) is a source for locating single chemical toxicity data for aquatic life, terrestrial plants and wildlife. ECOTOX was created and is maintained by the U.S.EPA, Office of Research and Development (ORD) , and the National Health and Environmental Effects Research Laboratory's (NHEERL's) Mid-Continent Ecology Division (MED). ECOTOX integrates three previously independent databases - AQUIRE, PHYTOTOX, and TERRETOX - into a unique system which includes toxicity data derived predominately from the peer-reviewed literature, for aquatic life, terrestrial plants, and terrestrial wildlife, respectively. ... [Information of the supplier]
IMGT is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG), T cell receptors (TR), major histocompatibility complex (MHC), immunoglobulin superfamily and related proteins of the immune system (RPI) of human and other vertebrate species. IMGT consists of sequence databases (IMGT/LIGM-DB, a comprehensive database of IG and TR from human and other vertebrates, with translation for fully annotated sequences, IMGT/MHC-DB, IMGT/PRIMER-DB), genome database (IMGT/GENE-DB) and structure database (IMGT/3Dstructure-DB), Web resources (IMGT Marie-Paule page) and interactive tools. The IMGT Home page http://imgt.cines.fr (Montpellier, France) provides a common access to all Immunogenetics data. ... [Information of the supplier]
The Cornell Plant Pathology Herbarium (CUP) is a large research collection of preserved fungi and other organisms that cause plant diseases. CUP is the fourth or fifth largest mycological herbarium in North America. We hold about 400,000 fungus and plant disease specimens, including over 7000 type specimens, each the first of its kind to be described and named. The CUP Photograph Collection includes about 60,000 historical scientific photographs of mushrooms, agricultural practices, plant diseases, and portraits. ... [Information of the supplier]
PHI-base is a web-accessible database that catalogues experimentally verified pathogenicity, virulence and effector genes from fungal, Oomycete and bacterial pathogens, which infect animal, plant, fungal and insect hosts. PHI-base is therfore an invaluable resource in the discovery of genes in medically and agronomically important pathogens, which may be potential targets for chemical intervention. In collaboration with the FRAC team, PHI-base also includes antifungal compounds and their target genes. Each entry in PHI-base is curated by domain experts and is supported by strong experimental evidence (gene disruption experiments, STM etc), as well as literature references in which the original experiments are described. Each gene in PHI-base is presented with its nucleotide and deduced amino acid sequence, as well as a detailed description of the predicted protein's function during the host infection process. To facilitate data interoperability, we have annotated genes using controlled vocabularies and links to external sources. ... [Information of the supplier]