The development and application of in silico models for drug induced liver injury

X Li, Y Chen, X Song, Y Zhang, H Li, Y Zhao - RSC advances, 2018 - pubs.rsc.org
Drug-induced liver injury (DILI), caused by drugs, herbal agents or nutritional supplements,
is a major issue for patients and the pharmaceutical industry. It has been a leading cause of …

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 …

InterDILI: interpretable prediction of drug-induced liver injury through permutation feature importance and attention mechanism

S Lee, S Yoo - Journal of Cheminformatics, 2024 - Springer
Safety is one of the important factors constraining the distribution of clinical drugs on the
market. Drug-induced liver injury (DILI) is the leading cause of safety problems produced by …

An in silico model for predicting drug-induced hepatotoxicity

S He, T Ye, R Wang, C Zhang, X Zhang, G Sun… - International journal of …, 2019 - mdpi.com
As one of the leading causes of drug failure in clinical trials, drug-induced liver injury (DILI)
seriously impeded the development of new drugs. Assessing the DILI risk of drug candidates …

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 …

In-silico approach for drug induced liver injury prediction: Recent advances

N Saini, S Bakshi, S Sharma - Toxicology Letters, 2018 - Elsevier
Drug induced liver injury (DILI) is the prime cause of liver disfunction which may lead to mild
non-specific symptoms to more severe signs like hepatitis, cholestasis, cirrhosis and …

Computational models using multiple machine learning algorithms for predicting drug hepatotoxicity with the DILIrank dataset

R Ancuceanu, MV Hovanet, AI Anghel… - International Journal of …, 2020 - mdpi.com
Drug-induced liver injury (DILI) remains one of the challenges in the safety profile of both
authorized and candidate drugs, and predicting hepatotoxicity from the chemical structure of …

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 …

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 …

[HTML][HTML] Predicting drug-induced liver injury: The importance of data curation

E Kotsampasakou, F Montanari, GF Ecker - Toxicology, 2017 - Elsevier
Drug-induced liver injury (DILI) is a major issue for both patients and pharmaceutical
industry due to insufficient means of prevention/prediction. In the current work we present a …