Predicting drug metabolism and pharmacokinetics features of in-house compounds by a hybrid machine-learning model-Reference-Cited by-同舟云学术

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Predicting drug metabolism and pharmacokinetics features of in-house compounds by a hybrid machine-learning model

Published:2021-08 Issue: Volume:39 Page:100395
ISSN:1347-4367
Container-title:Drug Metabolism and Pharmacokinetics
language:en
Short-container-title:Drug Metabolism and Pharmacokinetics

Author:

Sasahara Katsunori,Shibata Masakazu,Sasabe Hiroyuki,Suzuki Tomoki,Takeuchi Kenji,Umehara Ken,Kashiyama Eiji

Publisher

Elsevier BV

Subject

Pharmacology (medical),Pharmaceutical Science,Pharmacology

Reference25 articles.

1. How to improve R&D productivity: the pharmaceutical industry's grand challenge;Paul;Nat Rev Drug Discov,2010

2. Computational modeling of P450s for toxicity prediction;Mishra;Expet Opin Drug Metabol Toxicol,2011

3. Computational prediction of cytochrome P450 inhibition and induction;Kato;Drug Metabol Pharmacokinet,2020

4. WhichCyp: prediction of cytochromes P450 inhibition;Rostkowski;Bioinformatics,2013

5. A server for predicting CYP-mediated sites of metabolism on drug-like molecules;Zaretzki;Bioinformatics,2013

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2. Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives;Pharmaceutics;2023-04-17

3. Developing a Breast Cancer Resistance Protein Substrate Prediction System Using Deep Features and LDA;Computers, Materials & Continua;2023

4. A unified GCNN model for predicting CYP450 inhibitors by using graph convolutional neural networks with attention mechanism;Computers in Biology and Medicine;2022-11

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