Write reproducible code for getting and processing ChEMBL
Health Assessment Workspace Collaborative, a content management system for systematic reviews
The eNanoMapper ontology
Bayesian No-Effect-Concentration estimation in R
The rebirth of IMPACT World+ in a fully automated and transparent fashion.
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
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.
Captures key data for health assessment of chemicals and other environmental hazards
Repository to coordinate the work of the Toxicology Community.
OpenRiskNet pipeline for TGX case study: toxicology predictions based on transcriptomic profiles
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.
links related to SEND/Nonclinical toxicology
ANDA: An open-source tool for automated image analysis of in vitro neuronal cells
U.S. EPA Benchmark Dose Modeling Software User Interface (BMDS Desktop and BMDS Online)
U.S EPA Benchmark Dose Modeling Software (BMDS)
This Python project uses neural networks and genetic algorithms to design bioinsecticide compounds targeting specific proteins. By leveraging IC50 values from FASTA sequences, it generates and optimizes SMILES representations, enhancing the efficacy and specificity of bioinsecticides.
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