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KMID : 1137820220430040230
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의공학회지
2022 Volume.43 No. 4 p.230 ~ p.240
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A Study on the Prediction of Drug Efficacy by Using Molecular Structure
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Jeong Hwa-Young
Song Chang-Hyeon
Cho Hye-Youn
Key Jae-Hong
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Abstract
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Drug regeneration technology is an efficient strategy than the existing new drug development process, which requires large costs and time by using drugs that have already been proven safe. In this study, we recognize the importance of the new drug regeneration aspect of new drug development and research in predicting functional similarities through the basic molecular structure that forms drugs. We test four string-based algorithms by using SMILES data and searching for their similarities. And by using the ATC codes, pair them with functional similarities, which we compare and validate to select the optimal model. We confirmed that the higher the molecular structure similarity, the higher the ATC code matching rate. We suggest the possibility of additional potency of random drugs, which can be predicted through data that give information on drugs with high molecular similarities. This model has the advan- tage of being a great combination with additional data, so we look forward to using this model in future research.
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KEYWORD
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SMILES, LINGO similarity, ATC code, Drug similarity, Drug regeneration
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