DART is a database for facilitatin …
DART is a database for facilitating the search for drug adverse reaction targets. It contains information about known drug adverse reaction targets, functions and properties. Associated references are also included.
An adverse drug reaction (ADR) often results from interaction of a drug or its metabolites with specific protein targets important in normal cellular function. Knowledge about these targets is both important in facilitating the study of the mechanisms of ADRs and in new drug discovery. It is also useful in the development and testing of rational drug design and safety evaluation tools. The Drug Adverse Reaction Database (DART) is intended to provide comprehensive information about adverse effect targets of drugs described in the literature. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as ADR targets are also included as potential targets. This database gives physiological function of each target, binding drugs/agonists/antagonists/activators/inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. The database currently contains entries for 147 ADR targets and 89 potential targets. A total of 187 adverse reaction conditions, 257 drugs, and 1080 ligands known to bind to each of these targets are also currently described. Each entry can be retrieved through multiple search methods including target name, EC / SwissProt AC, target physiological function, protein groups, adverse effect, ligand name, tissue distribution and biological pathways. A special page is provided for contribution of new or additional information.
Retrieved results include Protein Name, Protein Synonym, Gene Name, EC Number, Enzyme Class, AC Number, Tissue Distribution, Reaction Equation, Adverse Effect, Other Possible Adverse Effect, Agonists / Activators, Antagonists / Inhibitors, References, Links to related literature.
Use of DART for commercial purposes is not allowed.
What does SVMDART do?
Adverse drug reactions (ADRs) are responsible for the failure of significant portion of investigative drugs and are the major reason for the withdrawal of clinical drugs. A number of ADRs are caused by undesired interaction of drugs with key proteins involved in normal biological processes. Identification of these ADR-related proteins facilitates the design of drugs with reduced side effects by rationally avoiding unwanted interaction with these proteins. This work explores a statistical-learning-based protein functional classification software SVMDART for identification of potential ADR-related proteins. SVMDART is trained and tested by using 759 ADR-related proteins of different species and 2280 non-ADR-related proteins, testing results show that 93.9% of the ADR-related proteins and 98.2% of non-ADR-related proteins are correctly classified. This suggests that SVMDART may be potentially useful for facilitating the identification of ADR-related proteins.
Submit protein primary sequence for ADR-related protein prediction.
The sequence MUST be provided in RAW format.