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- W4387530219 abstract "Absorption is an important area of research in pharmacochemistry and drug development, because the drug has to be absorbed before any drug effects can occur. Furthermore, the ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profile of drugs can be directly and considerably altered by modulating factors affecting absorption. Many drugs in development fail because of poor absorption. The research and continuous efforts of researchers in recent years have brought many successes and promises in drug absorption property prediction, especially in silico, which helps to reduce the time and cost significantly for screening undesirable drug candidates. In this report, we explicitly provide an overview of recent in silico studies on predicting absorption properties, especially from 2019 to the present, using artificial intelligence. Additionally, we have collected and investigated public databases that support absorption prediction research. On those grounds, we also proposed the challenges and development directions of absorption prediction in the future. We hope this review can provide researchers with valuable guidelines on absorption prediction to facilitate the development of newer approaches in drug discovery." @default.
- W4387530219 created "2023-10-12" @default.
- W4387530219 creator A5008953921 @default.
- W4387530219 creator A5031342322 @default.
- W4387530219 creator A5039240641 @default.
- W4387530219 date "2023-10-11" @default.
- W4387530219 modified "2023-10-17" @default.
- W4387530219 title "Recent Studies of Artificial Intelligence on <i>In Silico</i> Drug Absorption" @default.
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