Enabling faster drug discovery through machine learning

Lead Research Organisation: University of Nottingham
Department Name: Sch of Chemistry

Abstract

In this project, we will assess and extend state-of-the-art artificial intelligence algorithms to help discover new drug molecules. The development of new pharmaceuticals is an enormously difficult and costly task. Even a modest acceleration in the process would equate to medicines reaching patients more quickly and savings of many millions of pounds. It is a challenging problem because there are an astronomical number of possible chemical compounds and it is difficult to figure out which ones to make and test. The springboard for the project is a unique collaboration between the University of Nottingham and the pharmaceutical company GlaxoSmithKline (GSK), which is synthesizing and testing new molecules for effectiveness as a potential treatment for a complex and chronic lung disease, idiopathic pulmonary fibrosis (IPF).

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S515516/1 01/10/2018 31/03/2020
2116822 Studentship EP/S515516/1 01/10/2018 30/09/2022 Alexe Haywood
EP/R513283/1 01/10/2018 30/09/2023
2116822 Studentship EP/R513283/1 01/10/2018 30/09/2022 Alexe Haywood