There are 4 repositories under toxicology topic.
Write reproducible code for getting and processing ChEMBL
Health Assessment Workspace Collaborative, a content management system for systematic reviews
The eNanoMapper ontology
Data-driven chemical-induced toxicity prediction by machine learning using chemical and bioactivity data
R Shiny App to Visualize and Summarize Repeat-Dose Toxicology Study Results
The rebirth of IMPACT World+ in a fully automated and transparent fashion.
Repository to coordinate the work of the Toxicology Community.
SARAlerts is a code to generate structural alerts (toxic alerts) using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from Tox21, Clintox, and Sider datasets.
A query engine to retrive information from AOP wiki graph database.
OpenRiskNet pipeline for TGX case study: toxicology predictions based on transcriptomic profiles
links related to SEND/Nonclinical toxicology
Molecular structure-based classification of chemicals in known hazard groups
BBBP Explainer is a code to generate structural alerts of blood-brain barrier penetrating and non-penetrating drugs using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from BBBP dataset.
OpenTox functionality for Bioclipse.
My personal website, served at https://cthoyt.com
ANDA: An open-source tool for automated image analysis of in vitro neuronal cells
Data and code for rodent hepatotoxicity prediction
Run the AMBIT services on Docker
[Frontend] A knowledge graph system with graph neural network for drug discovery, disease mechanism and biomarker screening.
A Python module for analysis and visualization of dose-response data
A meteor-based table-building application for epidemiology, and mechanistic data used in the human-health assessment of chemicals.
Endocrine Disruption Explainer is a code to generate structural alerts of endocrine disruption of chemcial compounds using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from TOX-21, EDC, and EDKB-FDA datasets.
Mutagen Explainer is a code to generate structural alerts of mutagenicity of chemcial compounds using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from Bursi and Hansen Ames mutagenicity datasets.
An adverse drug reaction (ADR) is described by the World Health Organization (WHO) as a 'response to a medicine which is noxious and unintended, and which occurs at doses normally used in man
workshop materials for "A hands-on introduction to applied artificial intelligence in toxicology"
GitHub read-only mirror of Toxtree
The public version of the 'XploreAOP' Shiny application to interactively visualize AOP Networks
Source code for the web application associated with "Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms".
Workflows for prediction of inhalation toxicokinetics from chemical structure including the individual steps in the training and optimization of QSPR models, model selection and prediction of partition coefficients, applicability domain and toxicokinetics profile.