AI – New Avenue for Drug Discovery and Optimization

Author Info

Anshu Chaudhary Dudhe Rupesh Dudhe Suhas N. Sakarkar Omji Porwal

Corresponding Author

Rupesh Dudhe
School of Pharmacy, G H Raisoni University, Saikheda, Saunsar, Chhindwara, Madhya Pradesh, India

A B S T R A C T

The artificial intelligence (AI) used in drug treatment have to do with matching patients to their predicting drug-target or drug-drug interactions, optimal drug or combination of drugs, and optimizing treatment protocols. This review outlines some of the recently developed AI methods aiding the drug treatment and administration process. Selection of the suitable drug for a patient typically requires the patient data, such as genetics or proteomics, with drug data, like compound chemical descriptors, to score the therapeutic efficacy of drugs. The forecast of drug relations often relies on similarity metrics, pretentious that drugs with similar structures or targeted and similar behaviour or may interfere with each other. Deciding the dosage schedule for administration of drugs is performed using mathematical models to interpret pharmacokinetic and pharmacodynamics data.

Article Info

Article Type

Review Article

Publication history

Received: Tue 08, Dec 2020
Accepted: Thu 21, Jan 2021
Published: Sat 30, Jan 2021

Copyright

© 2023 Rupesh Dudhe. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.
DOI: 10.31487/j.COR.2021.01.02