A new approach to drug discovery for pain medications has been developed by researchers at the University of Oxford, with the hope that it will help to reduce the amount of time and resources needed to develop effective new treatments. The team, led by Professor of Computational Chemistry Professor Michael Walker, has developed a new algorithm which uses machine learning to identify promising compounds for further development. The algorithm has been trained on available data about existing drugs, and then uses this data to predict the potential of novel compounds for pain relief. The team believes that this approach could reduce the time and resources needed to develop new treatments, and could potentially lead to more effective and safer medications.

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source: Phys.org