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

Authors

  • Yinfeng Yang Anhui University of Chinese Medicine, China
  • Jinghui Wang Anhui University of Chinese Medicine, China

DOI:

https://doi.org/10.58567/ci01020004

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.

References

Wang EY, Wang L, Ding R, Zhai M, Ge R, Zhou, P, Wang JH*, Huang JL*. Astragaloside IV acts through multi-scale mechanisms to effectively reduce diabetic nephropathy. Pharmacological Research, 2020, 157, 104831.

Wang JH, Li Y*, Yang YF, Zhang JX, Du J, Zhang SW, Yang L. Profiling the interaction mechanism of indole-based derivatives targeting the HIV-1 gp120 receptor. RSC Advances, 2015, 5, 78278-78298.

Wang JH, Li Y*, Yang YF, Du J, Zhao MQ, Lin F, Zhang SW, Wang B. Systems Pharmacology dissection of multi-scale mechanisms of action for herbal medicines in treating rheumatoid arthritis. Molecular Pharmaceutics, 2017, 14, 3201-3217.

Wang JH, Yang YF, Li Y, Wang, YH*. Computational study exploring the interaction mechanism of benzimidazole derivatives as potent cattle bovine viral diarrhea. Journal of Agricultural and Food Chemistry, 2016, 64, 5941-5950.

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Published

2023-02-01

How to Cite

Yang, Y. ., & Jinghui Wang. (2023). Exploring the Multi-level Interaction Mechanism between Drugs and Targets Based on Artificial Intelligence. Cancer Insight, 1(2), 47–51. https://doi.org/10.58567/ci01020004

Issue

Section

Articles