AIMC Topic: Chemical and Drug Induced Liver Injury

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Integration of human cell lines gene expression and chemical properties of drugs for Drug Induced Liver Injury prediction.

Biology direct Jan 9, 2021
MOTIVATION: Drug-induced liver injury (DILI) is one of the primary problems in drug development. Early prediction of DILI can bring a significant reduction in the cost of clinical trials. In this work we examined whether occurrence of DILI can be pre...
Humans Drug Discovery Transcriptome Cell Line Chemical and Drug Induced Liver Injury Machine Learning Algorithms Risk Assessment
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DeepDILI: Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level Representation.

Chemical research in toxicology Dec 23, 2020
Drug-induced liver injury (DILI) is the most frequently reported single cause of safety-related withdrawal of marketed drugs. It is essential to identify drugs with DILI potential at the early stages of drug development. In this study, we describe a ...
Deep Learning Models, Theoretical Drug Repositioning COVID-19 Drug Treatment Chemical and Drug Induced Liver Injury SARS-CoV-2
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Deep Graph Learning with Property Augmentation for Predicting Drug-Induced Liver Injury.

Chemical research in toxicology Dec 21, 2020
Drug-induced liver injury (DILI) is a crucial factor in determining the qualification of potential drugs. However, the DILI property is excessively difficult to obtain due to the complex testing process. Consequently, an screening in the early stage...
Pharmaceutical Preparations Humans Chemical and Drug Induced Liver Injury Deep Learning Molecular Structure Models, Chemical
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Identification of early liver toxicity gene biomarkers using comparative supervised machine learning.

Scientific reports Nov 5, 2020
Screening agrochemicals and pharmaceuticals for potential liver toxicity is required for regulatory approval and is an expensive and time-consuming process. The identification and utilization of early exposure gene signatures and robust predictive mo...
Rats Liver Genetic Markers Algorithms Animals Male Chemical and Drug Induced Liver Injury Agrochemicals Supervised Machine Learning Gene Expression Regulation Oligonucleotide Array Sequence Analysis
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Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling.

Archives of toxicology Jun 12, 2020
Accurate prediction of drug- and chemical-induced hepatotoxicity remains to be a problem for pharmaceutical companies as well as other industries and regulators. The goal of the current study was to develop an in vitro/in silico method for the rapid ...
Humans Machine Learning Microscopy, Fluorescence Actin Cytoskeleton Transcription Factor RelA Cellular Senescence Proto-Oncogene Mas Chemical and Drug Induced Liver Injury Cell Death Hepatocytes Hep G2 Cells Phenotype Primary Cell Culture High-Throughput Screening Assays Dose-Response Relationship, Drug Risk Assessment Toxicity Tests DNA Damage Image Processing, Computer-Assisted
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Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Molecular pharmaceutics Jun 8, 2020
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in humans and the leading cause of postmarketing withdrawals of approved drugs. To date, these drugs have been collated by the FDA to form the DILIRank da...
Chemical and Drug Induced Liver Injury Databases, Pharmaceutical Biopharmaceutics Bayes Theorem Drug-Related Side Effects and Adverse Reactions Drug Approval Machine Learning Software Algorithms Databases, Factual Computer Simulation Humans Liver
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Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.

BioMed research international May 19, 2020
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 still cause adverse reactions and be restricted in use or even with...
Databases, Genetic Area Under Curve Chemical and Drug Induced Liver Injury Transcriptome Humans Databases, Pharmaceutical ROC Curve Machine Learning Computational Biology Computer Simulation
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Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset.

International journal of molecular sciences Mar 19, 2020
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 a substance remains a task worth pursuing. Such an approach is c...
Algorithms Databases, Factual Computer Simulation Humans Machine Learning Quantitative Structure-Activity Relationship Prognosis Chemical and Drug Induced Liver Injury Models, Theoretical Drug-Related Side Effects and Adverse Reactions
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Predictability of drug-induced liver injury by machine learning.

Biology direct Feb 13, 2020
BACKGROUND: Drug-induced liver injury (DILI) is a major concern in drug development, as hepatotoxicity may not be apparent at early stages but can lead to life threatening consequences. The ability to predict DILI from in vitro data would be a crucia...
Machine Learning Risk Assessment Models, Biological Chemical and Drug Induced Liver Injury Humans
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Hepatotoxicity Modeling Using Counter-Propagation Artificial Neural Networks: Handling an Imbalanced Classification Problem.

Molecules (Basel, Switzerland) Jan 23, 2020
Drug-induced liver injury is a major concern in the drug development process. Expensive and time-consuming and studies do not reflect the complexity of the phenomenon. Complementary to wet lab methods are approaches, which present a cost-efficient...
Databases, Chemical Quantitative Structure-Activity Relationship Neural Networks, Computer Chemical and Drug Induced Liver Injury Computer Simulation Algorithms Databases, Pharmaceutical Liver Drug-Related Side Effects and Adverse Reactions
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