Allows users to compute physicochemical descriptors as well as predict pharmacokinetics properties and druglike nature of one or multiple small molecules. SwissADME was made for application in drug discovery and medicinal chemistry contexts, which stresses for a balance between accuracy and speed in order to deal with a large number of molecules. Because of the predictive nature of the data returned by SwissADME, values should be handled with due care. Extra precaution should be taken if using SwissADME for any other activities outside the scope of drug design/discovery.
Allows forecast of Cytochrome P450 enzymes (P450s) sites of metabolisms (SOMs). XenoSite is a machine-learning approach to model P450 metabolism using a neural network. It can identify experimentally observed SOMs within the top two rank positions for substrate sets of each P450 isozyme. It also can compute SMARTCyp predictions for P450 metabolism. These predictions are available for downloading in a flat file.
Predicts the metabolizing Cytochromes P450 (CYPs) inhibition, including CYP1A2, CYP2C19, CYP2C9, CYP2D6 and CYP3A4. CypRules predicts its results based on C5.0 algorithm. The rules are calculated based on Mold2 PaDEL, and Pubchem 2D-fingerprints descriptors. The suggested ruleset that leads to the predicted outcome will be listed as well. This server will be helpful for researcher working in the field of drug discovery.
A prediction tool for identifying possible transformation products of xenobiotic chemicals in the liver. PROXIMAL builds look-up tables that catalog the sites and types of structural modifications performed by Phase I and Phase II enzymes. It also searches for substructures that match the sites cataloged in the look-up tables, applies the corresponding modifications to generate a panel of possible transformation products, and ranks the products based on the activity and abundance of the enzymes involved.
Predicts the ability of drug-like chemicals to inhibit five major drug metabolizing cytochrome P450 enzyme isoforms (CYPs) (i.e. CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A4). CYP450model is a unified proteochemometric (PCM) model which was created and made publicly available under the Bioclipse Decision Support open source system. CYP450model was developed based on the assay of 16359 organic compounds towards their inhibition of the five CYPs using PCM modeling, all-in-all the dataset comprising 63391 interactions.
You can access more results by creating a free plan account or unlimited content via a premium account.