General Information
| Description | A web portal to interrogate diverse small molecule screen datasets with different computational models |
| Homepage | http://tyerslab.bio.ed.ac.uk/molclass/api |
Publications
MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models
Summary:
The MolClass toolkit and data portal generate computational models from user-defined small molecule datasets based on structural features identified in hit and non-hit molecules in different screens. Each new model is applied to all datasets in the database to classify compound specificity. MolClass thus defines a likelihood value for each compound entry and creates an activity fingerprint across diverse sets of screens. MolClass uses a variety of machine-learning methods to find molecular patterns and can therefore also assign a priori predictions of bioactivities for previously untested molecules. The power of the MolClass resource will grow as a function of the number of screens deposited in the database.
Availability and implementation: The MolClass webportal, software package and source code are freely available for non-commercial use at http://tyerslab.bio.ed.ac.uk/molclass. A MolClass tutorial and a guide on how to build models from datasets can also be found on the web site. MolClass uses the chemistry development kit (CDK), WEKA and MySQL for its core functionality. A REST service is available at http://tyerslab.bio.ed.ac.uk/molclass/api based on the OpenTox API 1.2.
Contact:
jan.wildenhain@ed.ac.uk or md.tyers@umontreal.ca
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