The Data Science Research Group (DSRG) is organising a workshop entitled 'Machine Learning in Computer-Aided Drug Discovery' on 24 May 2019 at 12:00 at Networks Lab, Level -1 block B, Room 7, Faculty of ICT.

Dr Jean-Paul Ebejer will be the speaker at this event.

Computer-Aided Drug Design (CADD) plays an increasingly critical role in the drug-discovery process.  CADD involves the application of computer algorithms to improve pharmaceutical productivity.  These include algorithms for the identification of the biological target involved in a disease, toxicity and side-effect prediction, and searching a database for molecules which exhibit a therapeutic effect against a particular protein of interest.  The latter is known as Virtual Screening. In this workshop I will give an overview of CADD with particular emphasis on virtual screening.  We will develop a machine learning (ML) model to discriminate between actives and decoys against a protein target which plays a critical role in the life-cycle of HIV.  This interdisciplinary talk is aimed at an audience with prior Python programming experience and an interest in the application of ML models in life sciences.

Attendees are kindly asked to register here:

It is advisable to bring a laptop for the workshop.

The Data Science Research Group (DSRG) at the University of Malta conducts research in the interdisciplinary field of data science. The scope of the group is to use signal processing, machine learning and statistics to develop innovative techniques and to extract useful knowledge from various data sources in an effective manner to benefit the wider public. 

For more information about the DSRG, please visit the website.