Mutagenicity and Carcinogenicity
Cancer Prevention
Criteria for Causality: Bradford Hill Criteria - II
Types of Toxins
You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Jan 18, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
Published on: June 6, 2025
Huynh Anh Duy1,2, Tarapong Srisongkram3
1Graduate School in the Program of Research and Development in Pharmaceuticals, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
A consensus machine learning framework accurately predicts chemical carcinogenicity (IARC class 2B). This tool aids in identifying potential carcinogens, improving chemical safety assessments.
Area of Science:
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
16:02Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
Published on: February 10, 2023
Background: