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Current Topics in Medicinal Chemistry

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ISSN (Print): 1568-0266
ISSN (Online): 1873-4294

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Review Article

Precision Psychiatry: Machine Learning as a Tool to Find New Pharmacological Targets

Author(s): João Rema*, Filipa Novais and Diogo Telles-Correia

Volume 22, Issue 15, 2022

Published on: 04 October, 2021

Page: [1261 - 1269] Pages: 9

DOI: 10.2174/1568026621666211004095917

Price: $65

Abstract

Objectives: The present work reviews current evidence regarding the contribution of machine learning to the discovery of new drug targets.

Methods: Scientific articles from PubMed, SCOPUS, EMBASE, and Web of Science Core Collection published until May 2021 were included in this review.

Results: The most significant areas of research are schizophrenia, depression and anxiety, Alzheimer´s disease, and substance use disorders. ML techniques have pinpointed target gene candidates and pathways, new molecular substances, and several biomarkers regarding psychiatric disorders. Drug repositioning studies using ML have identified multiple drug candidates as promising therapeutic agents.

Conclusion: Next-generation ML techniques and subsequent deep learning may power new findings regarding the discovery of new pharmacological agents by bridging the gap between biological data and chemical drug information.

Keywords: Machine learning, Artificial intelligence, Neural networks, Psychiatry, Drugs, Pharmacological targets.

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