Join Mark Davies and Ian Churcher at Global Engage congress on pharmaceuticals research & development and his co-located event the Medicinal Chemistry Summit.
How Artificial Intelligence (AI) is disrupting drug discovery.
by Mark Davies
Despite the huge growth of knowledge and information the process of biomedical discovery has not changed for 50 years. In the modern world, it is impossible for humans alone to process all the complex information potentially available to them for the advancement of scientific research. For example, a new scientific paper is published every 30 seconds, consequently only a small fraction of globally generated scientific information can form ‘useable’ knowledge. This talk will present on how AI can offer a solution to this problem and how machine learning technologies are changing how new medicines are discovered and developed. The talk will also focus on how AI, as an augmentation tool to human intelligence, is essential in providing experienced scientists with the analytical tools they need to design better compounds faster.
Mark is the VP Biomedical Informatics at BenevolentAI. He has a background in molecular genetics, bioinformatics (BSc University of Sussex) and computer science (MSc Birkbeck College) and has over 15 years of experience working on biomedical data representation, data analysis and application development. In 2001, he joined the London based biotechnology company Inpharmatica, where he was initially working on mining the output of the Human Genome Projects and eventually moved on to building Chemogenomics systems used by pharmaceutical companies, such as Bayer. Mark moved to the European Bioinformatics Institute (EMBL-EBI) as one of the founding members and technical lead for the ChEMBL resource - the largest open-source SAR database. Mark was also responsible for the successful transition of the SureChEMBL chemical patent system from Digital Science to the EMBL-EBI. Throughout his career Mark has published on how the use of biomedical data and technologies can improve the drug discovery process and enjoys identifying new opportunities this research space.
Applying AI across drug discovery. Where to focus and how to accelerate?
by Ian Churcher
Drug discovery and development is made up of a series of interlinked challenges around finding the right therapeutic hypothesis, identifying a suitable molecule to use in clinical studies and selecting the right patients who will best respond. AI can be used across all these areas but, although vast amounts of data are available to inform these key questions, using all of the data to maximum advantage remains a challenge. This talk will describe some current approaches and challenges to increasing the degree to which current AI methods can help drug discovery scientists answer these questions ever more efficiently.
Ian is currently VP of Drug Discovery at BenevolentAI where he is applying a range of artificial intelligence approaches to all phases of drug discovery and development. Prior to this, for 5 years, he led the Protein Degradation Discovery Performance Unit at GSK, one of the pioneering groups who, working with Prof Craig Crews, demonstrated the application of Protac approaches to drug discovery. Ian has previously held a number of drug discovery & medicinal chemistry roles in GSK and Merck where he has always championed novel technologies and strategies to discover drugs. Ian was also a Visiting Professor in the Department of Chemistry at the University of Oxford from where he also holds MA and D.Phil degrees.