Write reproducible code for getting and processing ChEMBL
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Updated
Sep 14, 2025 - Jupyter Notebook
Write reproducible code for getting and processing ChEMBL
Health Assessment Workspace Collaborative, a content management system for systematic reviews
The eNanoMapper ontology
The rebirth of IMPACT World+ in a fully automated and transparent fashion.
Umbrella repo for the ToxMCP Suite (docs, links, quickstart).
Bayesian No-Effect-Concentration estimation in R
toxpiR R package for the Toxicological Priority Index (ToxPi) algorithm.
R package for simulation of caffeine concentration <doi:10.12793/tcp.2017.25.3.141>. https://asancpt.github.io/caffsim
Captures key data for health assessment of chemicals and other environmental hazards
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
A query engine to retrive information from AOP wiki graph database.
U.S EPA Benchmark Dose Modeling Software (BMDS)
Repository to coordinate the work of the Toxicology Community.
Refactored version of the drc package, a framework for fitting and analyzing dose–response models. This repository restructures the codebase to improve maintainability, transparency, and future development.
ANDA: An open-source tool for automated image analysis of in vitro neuronal cells
MCP server providing tools to access EFSA's comprehensive OpenFoodTox Chemical Hazards in food dataset
OpenRiskNet pipeline for TGX case study: toxicology predictions based on transcriptomic profiles
BioInsectiNet is a Python-based framework that uses neural networks and genetic algorithms to design and optimize bioinsecticides targeting specific proteins. It generates novel SMILES compounds, predicts toxicity and affinity using IC50 data from FASTA sequences, and performs molecular docking for 3D interaction analysis.
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