Computational Toxicology
Latest Publications

TOTAL DOCUMENTS

214

(FIVE YEARS 97)

H-INDEX

(FIVE YEARS 2)

Published By Elsevier

2468-1113

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Prediction of mammalian maximal rates of metabolism and Michaelis constants for industrial and environmental compounds: revisiting four quantitative structure activity relationship (QSAR) publications

Computational Toxicology ◽

10.1016/j.comtox.2022.100214 ◽

2022 ◽

pp. 100214

Author(s):

Lisa M. Sweeney ◽

Teresa R. Sterner

Keyword(s):

Quantitative Structure Activity Relationship ◽

Structure Activity Relationship ◽

Activity Relationship ◽

Quantitative Structure ◽

Structure Activity ◽

Michaelis Constants

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A Review of In Silico Toxicology Approaches to Support the Safety Assessment of Cosmetics-Related Materials

Computational Toxicology ◽

10.1016/j.comtox.2022.100213 ◽

2022 ◽

pp. 100213

Author(s):

Mark T.D. Cronin ◽

Steven J Enoch ◽

Judith C Madden ◽

James F. Rathman ◽

Andrea-Nicole Richarz ◽

...

Keyword(s):

In Silico ◽

Safety Assessment

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Critical evaluation of ToxCast-Reactome predicted toxicity pathway correspondence of the human liver HepG2 activity profile with observed PFOA and PFOS hazards

Computational Toxicology ◽

10.1016/j.comtox.2021.100212 ◽

2021 ◽

pp. 100212

Author(s):

Andrey Massarsky ◽

Jillian A. Parker ◽

Melinda T. Donnell ◽

Ernest S. Fung ◽

Kenneth M. Unice

Keyword(s):

Human Liver ◽

Critical Evaluation ◽

Activity Profile ◽

Toxicity Pathway

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Development of a QSAR model to predict comedogenic potential of some cosmetic ingredients

Computational Toxicology ◽

10.1016/j.comtox.2021.100207 ◽

2021 ◽

pp. 100207

Author(s):

Sebla Oztan Akturk ◽

Gulcin Tugcu ◽

Hande Sipahi

Keyword(s):

Qsar Model ◽

Cosmetic Ingredients

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A Matter of Trust: Learning Lessons About Causality Will Make qAOPs Credible

Computational Toxicology ◽

10.1016/j.comtox.2021.100205 ◽

2021 ◽

pp. 100205

Author(s):

Nicoleta Spînu ◽

Mark T.D. Cronin ◽

Judith C. Madden ◽

Andrew P. Worth

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Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study

Computational Toxicology ◽

10.1016/j.comtox.2021.100208 ◽

2021 ◽

pp. 100208

Author(s):

Matthew Boyce ◽

Brian Meyer ◽

Chris Grulke ◽

Lucina Lizarraga ◽

Grace Patlewicz

Keyword(s):

In Silico ◽

Liver Metabolism

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Toxicity Prediction using Locality-Sensitive Deep Learner

Computational Toxicology ◽

10.1016/j.comtox.2021.100210 ◽

2021 ◽

pp. 100210

Author(s):

Xiu Huan Yap ◽

Michael Raymer

Keyword(s):

Toxicity Prediction

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Probabilistic Modelling of Developmental Neurotoxicity based on a Simplified Adverse Outcome Pathway Network

Computational Toxicology ◽

10.1016/j.comtox.2021.100206 ◽

2021 ◽

pp. 100206

Author(s):

Nicoleta Spînu ◽

Mark T.D. Cronin ◽

Junpeng Lao ◽

Anna Bal-Price ◽

Ivana Campia ◽

...

Keyword(s):

Adverse Outcome ◽

Developmental Neurotoxicity ◽

Adverse Outcome Pathway ◽

Probabilistic Modelling ◽

Pathway Network

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Quantitative Structure-Activity Relationship (QSAR) Modeling to Predict the Transfer of Environmental Chemicals Across the Placenta

Computational Toxicology ◽

10.1016/j.comtox.2021.100211 ◽

2021 ◽

pp. 100211

Author(s):

Laura Lévêque ◽

Nadia Tahiri ◽

Michael-Rock Goldsmith ◽

Marc-André Verner

Keyword(s):

Quantitative Structure Activity Relationship ◽

Structure Activity Relationship ◽

Environmental Chemicals ◽

Activity Relationship ◽

Quantitative Structure ◽

Qsar Modeling ◽

Structure Activity

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Increasing the acceptance of in silico toxicology through development of protocols and position papers

Computational Toxicology ◽

10.1016/j.comtox.2021.100209 ◽

2021 ◽

pp. 100209

Author(s):

Glenn J. Myatt ◽

Arianna Bassan ◽

Dave Bower ◽

Kevin Crofton ◽

Kevin P. Cross ◽

...

Keyword(s):

In Silico

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Computational ToxicologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

Prediction of mammalian maximal rates of metabolism and Michaelis constants for industrial and environmental compounds: revisiting four quantitative structure activity relationship (QSAR) publications

A Review of In Silico Toxicology Approaches to Support the Safety Assessment of Cosmetics-Related Materials

Critical evaluation of ToxCast-Reactome predicted toxicity pathway correspondence of the human liver HepG2 activity profile with observed PFOA and PFOS hazards

Development of a QSAR model to predict comedogenic potential of some cosmetic ingredients

A Matter of Trust: Learning Lessons About Causality Will Make qAOPs Credible

Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study

Toxicity Prediction using Locality-Sensitive Deep Learner

Probabilistic Modelling of Developmental Neurotoxicity based on a Simplified Adverse Outcome Pathway Network

Quantitative Structure-Activity Relationship (QSAR) Modeling to Predict the Transfer of Environmental Chemicals Across the Placenta

Increasing the acceptance of in silico toxicology through development of protocols and position papers

Computational Toxicology
Latest Publications