Relating Substructures and Side Effects of Drugs with Chemical-chemical Interactions

Author(s): Bo Zhou*, Xian Zhao, Jing Lu, Zuntao Sun, Min Liu, Yilu Zhou, Rongzhi Liu, Yihua Wang.

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 23 , Issue 4 , 2020

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Background: Drugs are very important for human life because they can provide treatment, cure, prevention, or diagnosis of different diseases. However, they also cause side effects, which can increase the risks for humans and pharmaceuticals companies. It is essential to identify drug side effects in drug discovery. To date, lots of computational methods have been proposed to predict the side effects of drugs and most of them used the fact that similar drugs always have similar side effects. However, previous studies did not analyze which substructures are highly related to which kind of side effect.

Method: In this study, we conducted a computational investigation. In this regard, we extracted a drug set for each side effect, which consisted of drugs having the side effect. Also, for each substructure, a set was constructed by picking up drugs owing such substructure. The relationship between one side effect and one substructure was evaluated based on linkages between drugs in their corresponding drug sets, resulting in an Es value. Then, the statistical significance of Es value was measured by a permutation test.

Results and Conclusion: A number of highly related pairs of side effects and substructures were obtained and some were extensively analyzed to confirm the reliability of the results reported in this study.

Keywords: Side effect, chemical substructure, chemical-chemical interaction, permutation test, statistical significance, tardive dyskinesia.

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Article Details

Year: 2020
Page: [285 - 294]
Pages: 10
DOI: 10.2174/1386207322666190702102752
Price: $65

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