Open Access Journal Article

Exploring the Multi-level Interaction Mechanism between Drugs and Targets Based on Artificial Intelligence

by Yinfeng Yang a  and  Jinghui Wang a,b,*
a
School of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, Anhui 230012, China
b
School of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, Anhui 230012, China
*
Author to whom correspondence should be addressed.
CI  2022, 13; 1(2), 13; https://doi.org/10.58567/ci01020004
Received: 2 December 2022 / Accepted: 14 December 2022 / Published: 22 December 2022

Abstract

With the improvement of people's living standards and the increasing emphasis on health, new and higher demands are also placed on the medical industry. The diagnosis and treatment methods combining artificial intelligence and medicine are bound to receive more and more attention and promotion. At present, drug design is stepping into the era of artificial intelligence, and academia and industry are actively applying artificial intelligence technology to all aspects of drug research and development, including drug screening, molecular characterization, drug activity and druggability optimization, chemical reaction design, etc. Relying on the big data information of millions of patients, the artificial intelligence system can quickly and accurately mine and screen out suitable drugs. Through computer simulations, artificial intelligence can make predictions about drug activity, safety, and side effects, and find the best drug that matches the disease. This technology will shorten the drug development cycle, reduce the cost of new drugs and improve the success rate of new drug development.

Keywords: ;

Copyright: © 2022 by Yang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
Yang, Y.; Wang, J. Exploring the Multi-level Interaction Mechanism between Drugs and Targets Based on Artificial Intelligence. Cancer Insight, 2022, 1, 13. https://doi.org/10.58567/ci01020004
AMA Style
Yang Y, Wang J. Exploring the Multi-level Interaction Mechanism between Drugs and Targets Based on Artificial Intelligence. Cancer Insight; 2022, 1(2):13. https://doi.org/10.58567/ci01020004
Chicago/Turabian Style
Yang, Yinfeng; Wang, Jinghui 2022. "Exploring the Multi-level Interaction Mechanism between Drugs and Targets Based on Artificial Intelligence" Cancer Insight 1, no.2:13. https://doi.org/10.58567/ci01020004
APA style
Yang, Y., & Wang, J. (2022). Exploring the Multi-level Interaction Mechanism between Drugs and Targets Based on Artificial Intelligence. Cancer Insight, 1(2), 13. https://doi.org/10.58567/ci01020004

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