Frontiers in Toxicology | Computational Toxicology and Informatics

Original Research

Published on 11 Mar 2024

Optimizing androgen receptor prioritization using high-throughput assay-based activity models

in Computational Toxicology and Informatics

Ronnie Joe Bever
Stephen W. Edwards
Todor Antonijevic
Mark D. Nelms
Caroline Ring
Danni Harris
Scott G. Lynn
David Williams
Grace Chappell
Rebecca Boyles

Frontiers in Toxicology

doi 10.3389/ftox.2024.1347364

1,304 views
2 citations

Mini Review

Published on 19 Jan 2024

Computational models for predicting liver toxicity in the deep learning era

in Computational Toxicology and Informatics

Fahad Mostafa
Minjun Chen

Frontiers in Toxicology

doi 10.3389/ftox.2023.1340860

4,274 views
10 citations

Original Research

Published on 17 Nov 2023

Mining toxicogenomic data for dose-responsive pathways: implications in advancing next-generation risk assessment

in Computational Toxicology and Informatics

A. Rasim Barutcu
Michael B. Black
Andy Nong

Frontiers in Toxicology

doi 10.3389/ftox.2023.1272364

2,217 views
2 citations

Original Research

Published on 21 Sep 2023

The ToxCast pipeline: updates to curve-fitting approaches and database structure

in Computational Toxicology and Informatics

M. Feshuk
L. Kolaczkowski
K. Dunham
S. E. Davidson-Fritz
K. E. Carstens
J. Brown
R. S. Judson
K. Paul Friedman

Frontiers in Toxicology

doi 10.3389/ftox.2023.1275980

5,994 views
21 citations

Mini Review

Published on 11 Sep 2023

ToxRefDB v2.1: update to curated in vivo study data in the Toxicity Reference Database

in Computational Toxicology and Informatics

Madison Feshuk
Lori Kolaczkowski
Sean Watford
Katie Paul Friedman

Frontiers in Toxicology

doi 10.3389/ftox.2023.1260305

2,604 views
10 citations

Correction

Published on 24 Aug 2023

Corrigendum: Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis

in Computational Toxicology and Informatics

Parker Combs
Jeremy Erickson
Jui-Hua Hsieh
Kai Guo
Sue Nolte
Charles Schmitt
Scott Auerbach
Junguk Hur

Frontiers in Toxicology

doi 10.3389/ftox.2023.1278066

882 views

Technology and Code

Published on 27 Jun 2023

Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis

in Computational Toxicology and Informatics

Parker Combs
Jeremy Erickson
Jui-Hua Hsieh
Kai Guo
Sue Nolte
Charles Schmitt
Scott Auerbach
Junguk Hur

Frontiers in Toxicology

doi 10.3389/ftox.2023.1147608

4,511 views

Perspective

Published on 26 May 2023

Navigating the bridge between wet and dry lab toxicology research to address current challenges with high-dimensional data

in Computational Toxicology and Informatics

Alexis Payton
Kyle R. Roell
Meghan E. Rebuli
William Valdar
Ilona Jaspers
Julia E. Rager

Frontiers in Toxicology

doi 10.3389/ftox.2023.1171175

2,991 views
4 citations

Original Research

Published on 18 Jan 2023

Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis

in Computational Toxicology and Informatics

Matthew Boyce
Kristin A. Favela
Jessica A. Bonzo
Alex Chao
Lucina E. Lizarraga
Laura R. Moody
Elizabeth O. Owens
Grace Patlewicz
Imran Shah
Jon R. Sobus

Frontiers in Toxicology

doi 10.3389/ftox.2023.1051483

4,548 views
10 citations

Original Research

Published on 04 Jan 2023

Gene expression profiling after exposure to a chemical carcinogen, Pentabrominated Diphenyl Ether, at different life stages

in Computational Toxicology and Informatics

Keith R. Shockley
June K. Dunnick

Frontiers in Toxicology

doi 10.3389/ftox.2022.1028309

1,613 views
2 citations

Perspective

Published on 03 Nov 2022

Data curation to support toxicity assessments using the Integrated Chemical Environment

in Computational Toxicology and Informatics

Amber B. Daniel
Neepa Choksi
Jaleh Abedini
Shannon Bell
Patricia Ceger
Bethany Cook
Agnes L. Karmaus
John Rooney
Kimberly T. To
David Allen

Frontiers in Toxicology

doi 10.3389/ftox.2022.987848

3,627 views
20 citations

Original Research

Published on 20 Sep 2022

Novel machine learning models to predict endocrine disruption activity for high-throughput chemical screening

in Computational Toxicology and Informatics

Sean P. Collins
Tara S. Barton-Maclaren

Frontiers in Toxicology

doi 10.3389/ftox.2022.981928

3,002 views
9 citations

Original Research

Published on 25 Aug 2022

Concentration-response gene expression analysis in zebrafish reveals phenotypically-anchored transcriptional responses to retene

in Computational Toxicology and Informatics

Lindsay B. Wilson
Ryan S. McClure
Katrina M. Waters
Michael T. Simonich
Robyn L. Tanguay

Frontiers in Toxicology

doi 10.3389/ftox.2022.950503

2,981 views
13 citations

Technology and Code

Published on 22 Jun 2022

Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

in Computational Toxicology and Informatics

Kyle Roell
Lauren E. Koval
Rebecca Boyles
Grace Patlewicz
Caroline Ring
Cynthia V. Rider
Cavin Ward-Caviness
David M. Reif
Ilona Jaspers
Rebecca C. Fry

Frontiers in Toxicology

doi 10.3389/ftox.2022.893924

4,895 views
8 citations

Perspective

Published on 21 Jun 2022

Impact of Established and Emerging Software Tools on the Metabolite Identification Landscape

in Computational Toxicology and Informatics

Anne Marie E. Smith
Kiril Lanevskij
Andrius Sazonovas
Jesse Harris

Frontiers in Toxicology

doi 10.3389/ftox.2022.932445

4,281 views
2 citations

Editorial

Published on 28 Apr 2022

Editorial: Advances and Refinements in the Development and Application of Threshold of Toxicological Concern

in Computational Toxicology and Informatics

Grace Patlewicz
Andrew Worth
Chihae Yang
Tingting Zhu

Frontiers in Toxicology

doi 10.3389/ftox.2022.882321

3,711 views
3 citations