Build a Weight of Evidence for Drug Candidate Molecules
Facilitated by Roman Affentranger and Indira Ghosh
In this workshop exercise we will take a look at how OpenTox can be used in a Drug Discovery application to prioritize drug candidates according to their predicted toxicities. For the exercise we assume that a number of active compounds have been identified, and we want to categorize these molecules according to their toxicity profile. Ideally, we would identify a subset of compounds that are non-toxic according to all the predictions we use, and these compounds could be candidates for further optimization.
The exercise is focused on antimalarial compounds taken from the Tres Cantos Antimalarial Compound Set (https://www.ebi.ac.uk/chemblntd). In the workshop we will cover the following activities:
- Creation of an OpenTox dataset from a local file
- Selection of models available in OpenTox through ToxPredict
- Application of the selected models to the uploaded dataset
- Obtaining simple statistics for the predictions obtained for the uploaded dataset
- Adding the predicted values to a tabular view of the dataset and downloading the table
- Additional steps I) Applying an individual model to a dataset
- Additional steps II) Searching a dataset according to prediction values
- Additional steps III) Obtaining additional predictions
- Additional steps IV) Downloading data from other dataset services in OpenTox
- Complement your findings with predicted associations with hepatobiliary adverse events
Detailed instructions can be found following this link.
Complete the evaluation form following this link: Evaluation Form
