Related Experiment Video

Updated: Jan 9, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
11:38

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

Published on: May 10, 2016

12.7K

Exploring the toxicological impact of DEHP exposure on colorectal cancer through network toxicology, machine learning

Ling Wang1, Yuning Qin2, Wenbin Fan3

  • 1Chongqing University of Chinese Medicine, Chongqing, China.

BMC Pharmacology & Toxicology
|December 10, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Colorectal cancerDEHPMachine learning algorithmMolecular dockingNetwork toxicology

More Related Videos

Collection of Alfalfa Root Exudates to Study the Impact of Di2-ethylhexyl Phthalate on Metabolite Production06:46

Collection of Alfalfa Root Exudates to Study the Impact of Di2-ethylhexyl Phthalate on Metabolite Production

Published on: June 2, 2023

2.2K
A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans09:01

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

Published on: March 14, 2019

7.6K

Related Concept Videos

Toxic Reactions: Overview01:26

Toxic Reactions: Overview

When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
1.8K