Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology
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(FIVE YEARS 19)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030164423, 9783030164430

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Mode-of-Action-Guided, Molecular Modeling-Based Toxicity Prediction: A Novel Approach for In Silico Predictive Toxicology

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_6 ◽

2019 ◽

pp. 99-118 ◽

Cited By ~ 1

Author(s):

Ping Gong ◽

Sundar Thangapandian ◽

Yan Li ◽

Gabriel Idakwo ◽

Joseph Luttrell IV ◽

...

Keyword(s):

Molecular Modeling ◽

Mode Of Action ◽

In Silico ◽

Toxicity Prediction ◽

Predictive Toxicology ◽

Novel Approach

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OpenTox Principles and Best Practices for Trusted Reproducible In Silico Methods Supporting Research and Regulatory Applications in Toxicological Science

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_19 ◽

2019 ◽

pp. 383-403

Author(s):

Barry Hardy ◽

Daniel Bachler ◽

Joh Dokler ◽

Thomas Exner ◽

Connor Hardy ◽

...

Keyword(s):

Best Practices ◽

In Silico ◽

In Silico Methods

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Applications of Molecular Dynamics Simulations in Computational Toxicology

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_10 ◽

2019 ◽

pp. 181-212 ◽

Cited By ~ 3

Author(s):

Sugunadevi Sakkiah ◽

Rebecca Kusko ◽

Weida Tong ◽

Huixiao Hong

Keyword(s):

Molecular Dynamics ◽

Molecular Dynamics Simulations ◽

Computational Toxicology ◽

Dynamics Simulations

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Background, Tasks, Modeling Methods, and Challenges for Computational Toxicology

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_2 ◽

2019 ◽

pp. 15-36

Author(s):

Zhongyu Wang ◽

Jingwen Chen

Keyword(s):

Computational Toxicology ◽

Modeling Methods

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Molecular Modeling Method Applications: Probing the Mechanism of Endocrine Disruptor Action

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_16 ◽

2019 ◽

pp. 315-335

Author(s):

Xianhai Yang ◽

Huihui Liu ◽

Rebecca Kusko

Keyword(s):

Molecular Modeling ◽

Endocrine Disruptor ◽

Modeling Method

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A Pair Ranking (PRank) Method for Assessing Assay Transferability Among the Toxicogenomics Testing Systems

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_9 ◽

2019 ◽

pp. 159-180

Author(s):

Zhichao Liu ◽

Brian Delavan ◽

Liyuan Zhu ◽

Ruth Robert ◽

Weida Tong

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Predictive Modeling of Tox21 Data

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_14 ◽

2019 ◽

pp. 279-297 ◽

Cited By ~ 1

Author(s):

Ruili Huang

Keyword(s):

Predictive Modeling

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Integrating QSAR, Read-Across, and Screening Tools: The VEGAHUB Platform as an Example

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_18 ◽

2019 ◽

pp. 365-381

Author(s):

Emilio Benfenati ◽

Alessandra Roncaglioni ◽

Anna Lombardo ◽

Alberto Manganaro

Keyword(s):

Screening Tools

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Predicting the Risks of Drug-Induced Liver Injury in Humans Utilizing Computational Modeling

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_13 ◽

2019 ◽

pp. 259-278

Author(s):

Minjun Chen ◽

Jieqiang Zhu ◽

Kristin Ashby ◽

Leihong Wu ◽

Zhichao Liu ◽

...

Keyword(s):

Liver Injury ◽

Computational Modeling ◽

Drug Induced ◽

Drug Induced Liver Injury

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Applicability Domain: Towards a More Formal Framework to Express the Applicability of a Model and the Confidence in Individual Predictions

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology ◽

10.1007/978-3-030-16443-0_11 ◽

2019 ◽

pp. 215-232 ◽

Cited By ~ 1

Author(s):

Thierry Hanser ◽

Chris Barber ◽

Sébastien Guesné ◽

Jean François Marchaland ◽

Stéphane Werner

Keyword(s):

Applicability Domain ◽

Formal Framework

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Challenges and Advances in Computational Chemistry and Physics - Advances in Computational ToxicologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Mode-of-Action-Guided, Molecular Modeling-Based Toxicity Prediction: A Novel Approach for In Silico Predictive Toxicology

OpenTox Principles and Best Practices for Trusted Reproducible In Silico Methods Supporting Research and Regulatory Applications in Toxicological Science

Applications of Molecular Dynamics Simulations in Computational Toxicology

Background, Tasks, Modeling Methods, and Challenges for Computational Toxicology

Molecular Modeling Method Applications: Probing the Mechanism of Endocrine Disruptor Action

A Pair Ranking (PRank) Method for Assessing Assay Transferability Among the Toxicogenomics Testing Systems

Predictive Modeling of Tox21 Data

Integrating QSAR, Read-Across, and Screening Tools: The VEGAHUB Platform as an Example

Predicting the Risks of Drug-Induced Liver Injury in Humans Utilizing Computational Modeling

Applicability Domain: Towards a More Formal Framework to Express the Applicability of a Model and the Confidence in Individual Predictions

Challenges and Advances in Computational Chemistry and Physics - Advances in Computational Toxicology
Latest Publications