[HTML][HTML] Predictive model for drug-induced liver injury using deep neural networks based on substructure space

MG Kang, NS Kang - Molecules, 2021 - mdpi.com
Drug-induced liver injury (DILI) is a major concern for drug developers, regulators, and
clinicians. However, there is no adequate model system to assess drug-associated DILI risk …

Deep Learning Algorithm Based on Molecular Fingerprint for Prediction of Drug‐Induced Liver Injury

Q Yang, S Zhang, Y Li - Toxicology, 2024 - Elsevier
Drug-induced liver injury (DILI) is one the rare adverse drug reaction (ADR) and
multifactorial endpoints. Current preclinical animal models struggle to anticipate it, and in …

ResNet18DNN: prediction approach of drug-induced liver injury by deep neural network with ResNet18

Z Chen, Y Jiang, X Zhang, R Zheng, R Qiu… - Briefings in …, 2022 - academic.oup.com
Drug-induced liver injury (DILI) has always been the focus of clinicians and drug
researchers. How to improve the performance of the DILI prediction model to accurately …

Deep learning for drug-induced liver injury

Y Xu, Z Dai, F Chen, S Gao, J Pei… - Journal of chemical …, 2015 - ACS Publications
Drug-induced liver injury (DILI) has been the single most frequent cause of safety-related
drug marketing withdrawals for the past 50 years. Recently, deep learning (DL) has been …

[HTML][HTML] Deep learning on high-throughput transcriptomics to predict drug-induced liver injury

T Li, W Tong, R Roberts, Z Liu… - Frontiers in bioengineering …, 2020 - frontiersin.org
Drug-induced liver injury (DILI) is one of the most cited reasons for the high drug attrition rate
and drug withdrawal from the market. The accumulated large amount of high throughput …

Predicting drug-induced liver injury using convolutional neural network and molecular fingerprint-embedded features

TH Nguyen-Vo, L Nguyen, N Do, PH Le, TN Nguyen… - ACS …, 2020 - ACS Publications
As a critical issue in drug development and postmarketing safety surveillance, drug-induced
liver injury (DILI) leads to failures in clinical trials as well as retractions of on-market …

Gene expression data based deep learning model for accurate prediction of drug-induced liver injury in advance

C Feng, H Chen, X Yuan, M Sun, K Chu… - Journal of chemical …, 2019 - ACS Publications
Drug-induced liver injury (DILI), one of the most common adverse effects, leads to drug
development failure or withdrawal from the market in most cases, showing an emerging …

In silico prediction of drug‐induced liver injury with a complementary integration strategy based on hybrid representation

Y Gu, Y Wang, Z Wu, W Li, G Liu… - Molecular …, 2023 - Wiley Online Library
Drug‐induced liver injury (DILI) is one of the major causes of drug withdrawals, acute liver
injury and blackbox warnings. Clinical diagnosis of DILI is a huge challenge due to the …

In silico Prediction of Drug Induced Liver Toxicity Using Substructure Pattern Recognition Method

C Zhang, F Cheng, W Li, G Liu, PW Lee… - Molecular …, 2016 - Wiley Online Library
Drug‐induced liver injury (DILI) is a leading cause of acute liver failure in the US and less
severe liver injury worldwide. It is also one of the major reasons of drug withdrawal from the …

Machine‐Learning Prediction of Oral Drug‐Induced Liver Injury (DILI) via Multiple Features and Endpoints

X Liu, D Zheng, Y Zhong, Z Xia, H Luo… - BioMed Research …, 2020 - Wiley Online Library
Drug discovery is a costly process which usually takes more than 10 years and billions of
dollars for one successful drug to enter the market. Despite all the safety tests, drugs may …