New Perspectives on Machine Learning in Drug Discovery
- 15 October 2021
- journal article
- review article
- Published by Bentham Science Publishers Ltd. in Current Medicinal Chemistry
- Vol. 28 (32), 6704-6728
- https://doi.org/10.2174/0929867327666201111144048
Abstract
Artificial intelligence methods, in particular, machine learning, has been playing a pivotal role in drug development, from structural design to clinical trial. This approach is harnessing the impact of computer-aided drug discovery thanks to large available data sets for drug candidates and its new and complex manner of information interpretation to identify patterns for the study scope. In the present review, recent applications related to drug discovery and therapies are assessed, and limitations and future perspectives are analyzed.This publication has 235 references indexed in Scilit:
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