What is it about?
We surveyed revolutionary approaches to pharmaceutical drug discovery using AI to contribute to the current conversation on machine learning techniques that work for drug discovery in both academic and industrial settings. To evaluate the effectiveness, we compared many approaches and experiments and discuss potential future applications for the models.
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Why is it important?
Machine Learning Techniques are accelerating how we can predict what drugs will work instead of relying solely on precious human time, money and capability.
Perspectives
Machine Learning is the most revolutionary tool we have developed to enhance the active human effort in predicting solutions that will aide solving the greatest problems of human life.
Jessica Chase
New York University
Read the Original
This page is a summary of: Survey of Machine Learning Techniques in Drug Discovery, Current Drug Metabolism, May 2019, Bentham Science Publishers,
DOI: 10.2174/1389200219666180820112457.
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