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 …
severe liver injury worldwide. It is also one of the major reasons of drug withdrawal from the …
In silico prediction of drug-induced liver injury based on ensemble classifier method
Drug-induced liver injury (DILI) is a major factor in the development of drugs and the safety
of drugs. If the DILI cannot be effectively predicted during the development of the drug, it will …
of drugs. If the DILI cannot be effectively predicted during the development of the drug, it will …
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 …
is a major issue for patients and the pharmaceutical industry. It has been a leading cause of …
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 …
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
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 …
liver injury (DILI) leads to failures in clinical trials as well as retractions of on-market …
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 …
clinicians. However, there is no adequate model system to assess drug-associated DILI risk …
Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints
Background Drug-induced liver injury (DILI) is a critical issue in drug development because
DILI causes failures in clinical trials and the withdrawal of approved drugs from the market …
DILI causes failures in clinical trials and the withdrawal of approved drugs from the market …
Computational models using multiple machine learning algorithms for predicting drug hepatotoxicity with the DILIrank dataset
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 …
authorized and candidate drugs, and predicting hepatotoxicity from the chemical structure of …
Predicting drug-induced liver injury using ensemble learning methods and molecular fingerprints
Drug-induced liver injury (DILI) is a major safety concern in the drug-development process,
and various methods have been proposed to predict the hepatotoxicity of compounds during …
and various methods have been proposed to predict the hepatotoxicity of compounds during …
[HTML][HTML] Predicting drug-induced liver injury: The importance of data curation
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 …
industry due to insufficient means of prevention/prediction. In the current work we present a …