Interactions Between Orally Administered Drugs can be Predicted from a Combination of Machine Learning and Tissue Models

Author:

Al-Janabi Ismail IbrahimORCID

Abstract

N/A

Publisher

Al-Rafidain University College

Reference6 articles.

1. Al-Janabi II, Fikrat HT, Mustafa RMA, Razzo FN, Borazan HN, Al-Taee SF. The effect of acetylsalicylic acid and acetaminophen on the solubility and absorption characteristics of nitrofurantoin. J Fac Med Baghdad. 1980;22(2):44-53.

2. Anber SA, Al-Janabi II, Mustafa RMA, Razzo FN. In vitro detection of possible in vivo drug interactions Part 1: The effect of hydrochlorothiazide and frusemide on the in vitro absorption characteristics of propranolol hydrochloride. Pharmazie. 1981;36(H.6):425-427.

3. Al-Janabi II, Anber SA, Fikrat HT. In vitro detection of possible in vivo drug interactions Part 2: A study of the effect of hydrochlorothiazide and frusemide on the partition coefficient and solubility characteristics of propranolol hydrochloride. Pharmazie.1981;36(H.6):485-488.

4. Han K, Cao P, Wang Y, Xie F, Ma J, Yu M, et al. A Review of approaches for predicting drug-drug interactions based on machine learning. Front Pharmacol. 2022;12:814858. doi: 10.3389/fphar.2021.814858.

5. Zhang Y, Deng Z, Xu X, Feng Y, Junliang S. Application of artificial intelligence in drug-drug interactions prediction: A review. J Chem Inf Model. 2023. doi: 10.1021/acs.jcim.3c00582.

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