Provides information about interactions between environmental chemicals and gene products and their relationships to diseases. Chemical-gene, chemical-disease and gene-disease interactions manually curated from the literature are integrated to generate expanded networks and predict many novel associations between different data types.
Finds different associations from those reported during clinical trials before drug approval. The Offsides database is a resource of 438,801 off-label -- those effects not listed on the FDA's official drug label -- side effects for 1332 drugs and 10,097 adverse events.
Contains information on marketed medicines and their recorded adverse drug reactions. The SIDER website enables users to trace drug–side effect pairs to the drug labels: users can navigate to the drug's page and click on the side effect of interest. On the presented drug label, all instances of the side effect are marked. In this way, users can quickly trace the origin of an extracted side effect in order to rule out false positives. The complete data set of side effects and the data set of indications are available for download from the SIDER website in text format, including PubChem and MedDRA identifiers.
A comprehensive ADR ontology database that provides not only ADR standardization but also hierarchical classification of ADR terms. The ADR terms were pre-assigned with unique digital IDs and at the same time were well organized into a four-level ADR hierarchy tree for building an ADR-ADR relation. In summary, ADReCS offers an opportunity for direct computation on ADR terms and also provides clues to mining common features underlying ADRs.
A resource for the comparison of fragments found in metabolites, drugs or toxic compounds. Starting from 13,000 metabolites, 16,000 drugs and 2200 toxic compounds we generated 35,000 different building blocks (fragments), which are not only relevant to their biosynthesis and degradation but also provide important information regarding side-effects and toxicity.
Provides clinically relevant somatic mutations. DIRECT enables a genetically informed approach to cancer medicine by providing clinicians access to tumor gene therapy-response information based on individual patient data published in the literature. It catalogs only patients with non-small cell lung cancers (NSCLCs) and published individual patient data on EGF receptor (EGFR) mutations.
A rich and highly specific standardised medical terminology to facilitate sharing of regulatory information internationally for medical products used by humans. ICH’s powerful tool, MedDRA is available to all for use in the registration, documentation and safety monitoring of medical products both before and after a product has been authorised for sale.
A Web-based platform for collecting and storing toxicological structural alerts from literature and for virtual screening of chemical libraries to flag potentially toxic chemicals and compounds that can cause adverse side effects. An alert is uniquely identified by a SMARTS template, a toxicological endpoint, and a publication where the alert was described. Additionally, the system allows storing complementary information such as name, comments, and mechanism of action, as well as other data.
Contains all diagnoses, drug prescriptions, and selected laboratory test results that can affect an electrocardiograpm (ECG). ECG-ViEW is a downloadable database that provides an opportunity to evaluate the effects of a drug or combination of drugs, on electrophysiological changes in patients with many diseases and drug treatments. It also contains ECG data from healthy people, for possible use as a reference cohort of the general South Korean population. This resource could be an excellent data source for research scientists who study electrophysiological effect of diseases or drug prescription.
Gathers network pharmacology related interactions information at the systemic level. PhID aims to provides a repository for visualizing relationships between entities such as drugs, targets, diseases, genes, pathways, and side-effects. The database includes more than 306000 activities. Searches can be made by names, ids, molecular structures, or molecular fragments for different purposes.
Compiles literature about adverse drug reactions (ADRs). DART provides a public database which make an inventory of literature-described known target related to adverse effects on drugs as well as literature-described protein involved in adverse effect of a chemical. The database offers general information about of toxicity target molecule such as physiological function with its toxicity-related aspect.
Summarizes literature-curated information on levodopa-induced dyskinesia (LID) genetics. LIPDP is a publicly available web resource that investigates the LID-associated genes in a broader functional context through analysis of their relationships based on network models. It uses different underlying networks and allows to incorporate data into the analyses. The core of LIDPD is a set of Panel genes that have been associated with LID in the scientific literature. Different Highlight datasets provide additional gene annotations or associations with Parkinson's disease.
Allows the consulting of an annotated corpus of medical forum posts on patient reported Adverse Drug Events (ADE). Cadec is composed of medication consumer posts from AskaPatient, a medical forum. These posts are annotated with concepts such as drug names, diseases, adverse reactions and symptoms. All of these concepts are linked to their corresponding concepts in controlled vocabularies. This database provides opportunities for researchers of text mining for pharmacovigilance.
An open database listing known adverse drug reactions with Human leukocyte antigens (HLA) alleles. The HLA-ADR has been implemented within the wider Allele Frequency Net Database (AFND), which stores large collections of data on the allele and haplotype frequencies for healthy, worldwide populations, as well as modules for exploring immunogenetic disease associations. HLA-ADR provides a resource that not only facilitates meta-analyses but also enables users to further their investigations by using resources available with the main AFND website, e.g. on the incidence of particular HLA alleles/haplotypes in healthy worldwide populations.
This is a highly refined terminology for coding clinical information in relation to drug therapy. WHO-ART covers most medical terms needed in adverse reaction reporting, but is still small enough to make it possible to print it out as a list which makes it easily usable for smaller companies and national centres.
Collects data about adverse drug reactions (ADRs) caused by drug interaction with protein, gene and genetic variation. ADReCS-Target contains more than 66,000 association pairs with over 2,200 standard ADR terms manually curated from text-mining of the public scientific literatures. All the terms are standardized by using ADReCS ontology and represented as a connected network or systematic fashion.
Provides dedicated information for associations between Human Leukocyte Antigens (HLA) and Adverse Drug Reactions (ADR). HLADR is a pharmacogenomics database. Each database entry is a 2 by 2 contingency table on which performance metrics (such as p value, odds ratio, sensitivity, specificity, positive predictive value, and negative predictive value) were calculated in a consistent manner for different drug-HLA pairs. Therefore, the results from multiple studies could be compared in terms of different performance perspectives for a given HLA allele to serve as a safety biomarker against an ADR induced by the drug.