Results 11 to 20 of about 73,306 (292)

Advancing Computational Toxicology by Interpretable Machine Learning. [PDF]

Environ Sci Technol, 2023
Jia X, Wang T, Zhu H.
europepmc   +2 more sources

Casting a wide net: use of diverse model organisms to advance toxicology [PDF]

, 2020
© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hahn, M. E., & Sadler, K. C. Casting a wide net: use of diverse model organisms to advance toxicology.
Hahn, Mark E., Sadler, Kirsten C.
core   +1 more source

Estimating provisional margins of exposure for data-poor chemicals using high-throughput computational methods

Frontiers in Pharmacology, 2022
Current computational technologies hold promise for prioritizing the testing of the thousands of chemicals in commerce. Here, a case study is presented demonstrating comparative risk-prioritization approaches based on the ratio of surrogate hazard and ...
Chantel I. Nicolas, Matthew W. Linakis, Melyssa S. Minto, Kamel Mansouri, Rebecca A. Clewell, Miyoung Yoon, John F. Wambaugh, Grace Patlewicz, Patrick D. McMullen, Melvin E. Andersen, Harvey J. Clewell III   +10 more
doaj   +1 more source

High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures

npj Systems Biology and Applications, 2021
The ToxCast in vitro screening program has provided concentration-response bioactivity data across more than a thousand assay endpoints for thousands of chemicals found in our environment and commerce.
Jill A. Franzosa, Jessica A. Bonzo, John Jack, Nancy C. Baker, Parth Kothiya, Rafal P. Witek, Patrick Hurban, Stephen Siferd, Susan Hester, Imran Shah, Stephen S. Ferguson, Keith A. Houck, John F. Wambaugh   +12 more
doaj   +1 more source

Antidiabetic activity of avocado seeds (Persea americana Mill.) in diabetic rats via activation of PI3K/AKT signaling pathway

Scientific Reports, 2022
The treatment of diabetes involves the use of herbal plants, attracting interest in their cost-effectiveness and efficacy. An aqueous extract of Persea americana seeds (AEPAS) was explored in this study as a possible therapeutic agent in rats with ...
Oluwafemi Adeleke Ojo, Jennifer Chidubem Amanze, Abosede Itunuoluwa Oni, Susan Grant, Matthew Iyobhebhe, Tobiloba Christiana Elebiyo, Damilare Rotimi, Nnaemeka Tobechukwu Asogwa, Babatunji Emmanuel Oyinloye, Basiru Olaitan Ajiboye, Adebola Busola Ojo   +10 more
doaj   +1 more source

Systems toxicology: real world applications and opportunities [PDF]

, 2017
Systems Toxicology aims to change the basis of how adverse biological effects of xenobiotics are characterized from empirical end points to describing modes of action as adverse outcome pathways and perturbed networks. Toward this aim, Systems Toxicology
Amin Rostami-Hodjegan, Coecke S., Gary R. Mirams, Hartung T., Imran Shah, Manuel C. Peitsch, Martin F. Wilks, National Institute of Environmental Health Sciences, OECD, Paul Jennings, Rex E. FitzGerald, Shana J. Sturla, Thomas Hartung, van Vliet E., Wilmes A.   +14 more
core   +2 more sources

Proteomics for systems toxicology

Computational and Structural Biotechnology Journal, 2014
Current toxicology studies frequently lack measurements at molecular resolution to enable a more mechanism-based and predictive toxicological assessment.
Bjoern Titz, Ashraf Elamin, Florian Martin, Thomas Schneider, Sophie Dijon, Nikolai V. Ivanov, Julia Hoeng, Manuel C. Peitsch   +7 more
doaj   +1 more source

Artificial intelligence as the new frontier in chemical risk assessment

Frontiers in Artificial Intelligence, 2023
The rapid progress of AI impacts various areas of life, including toxicology, and promises a major role for AI in future risk assessments. Toxicology has shifted from a purely empirical science focused on observing chemical exposure outcomes to a data ...
Thomas Hartung, Thomas Hartung
doaj   +1 more source

A Combined In Vitro/In Silico Approach to Identifying Off-Target Receptor Toxicity

iScience, 2018
Summary: Many xenobiotics can bind to off-target receptors and cause toxicity via the dysregulation of downstream transcription factors. Identification of subsequent off-target toxicity in these chemicals has often required extensive chemical testing in ...
Joseph Leedale, Kieran J. Sharkey, Helen E. Colley, Áine M. Norton, David Peeney, Chantelle L. Mason, Jean G. Sathish, Craig Murdoch, Parveen Sharma, Steven D. Webb   +9 more
doaj   +1 more source

High-throughput AR dimerization assay identifies androgen disrupting chemicals and metabolites

Frontiers in Toxicology, 2023
Introduction: Analysis of streamlined computational models used to predict androgen disrupting chemicals revealed that assays measuring androgen receptor (AR) cofactor recruitment/dimerization were particularly indispensable to high predictivity ...
Evan C. Brown, Evan C. Brown, Daniel R. Hallinger, Steven O. Simmons   +3 more
doaj   +1 more source