Drug Discovery, Decision-making and Open Data
Time: 14:00 - 15:00
Venue: MIB Lecture Theatre, Manchester Institute of Biotechnology, University of Manchester, M17DN
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The biological sciences have a long tradition of “open data” yet until relatively recently this has not been the case in the chemical and chemical biology sciences. The advent of open, public resources such as ChEMBL is now changing that situation. ChEMBL currently contains more than 15m activity values for more than 1.7m compounds, curated from the literature, from data depositions and from other relevant sources. Our companion patent resource SureChEMBL contains more than 16 million unique compounds from 13 million patents. I will draw on my practical experiences in drug discovery to illustrate how resources such as ChEMBL can be used in conjunction with other experimental and computational methods to tackle a wide range of questions, and to help make informed, data-driven decisions on project progression. I will also explore some of the challenges faced by drug discovery researchers, and in particular how new technology platforms and better insights might help to address the industry's continuing high rate of attrition.
All welcome. Attendance is free but please register here.