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Advances in QSAR Modeling

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Cover of 'Advances in QSAR Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Towards the Revival of Interpretable QSAR Models
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    Chapter 2 The Use of Topological Indices in QSAR and QSPR Modeling
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    Chapter 3 Which Performance Parameters Are Best Suited to Assess the Predictive Ability of Models?
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    Chapter 4 Structural, Physicochemical and Stereochemical Interpretation of QSAR Models Based on Simplex Representation of Molecular Structure
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    Chapter 5 The Maximum Common Substructure (MCS) Search as a New Tool for SAR and QSAR
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    Chapter 6 Generative Topographic Mapping Approach to Chemical Space Analysis
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    Chapter 7 On Applications of QSARs in Food and Agricultural Sciences: History and Critical Review of Recent Developments
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    Chapter 8 Quantitative Structure-Epigenetic Activity Relationships
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    Chapter 9 QSAR/QSPR Modeling in the Design of Drug Candidates with Balanced Pharmacodynamic and Pharmacokinetic Properties
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    Chapter 10 Strategy for Identification of Nanomaterials’ Critical Properties Linked to Biological Impacts: Interlinking of Experimental and Computational Approaches
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    Chapter 11 In Silico Approaches for the Prediction of In Vivo Biotransformation Rates
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    Chapter 12 Development of Monte Carlo Approaches in Support of Environmental Research
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    Chapter 13 Environmental Toxicity of Pesticides, and Its Modeling by QSAR Approaches
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    Chapter 14 Counter-Propagation Artificial Neural Network Models for Prediction of Carcinogenicity of Non-congeneric Chemicals for Regulatory Uses
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    Chapter 15 Big Data in Structure-Property Studies—From Definitions to Models
Attention for Chapter 10: Strategy for Identification of Nanomaterials’ Critical Properties Linked to Biological Impacts: Interlinking of Experimental and Computational Approaches
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Citations

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Chapter title
Strategy for Identification of Nanomaterials’ Critical Properties Linked to Biological Impacts: Interlinking of Experimental and Computational Approaches
Chapter number 10
Book title
Advances in QSAR Modeling
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-56850-8_10
Book ISBNs
978-3-31-956849-2, 978-3-31-956850-8
Authors

Iseult Lynch, Antreas Afantitis, Georgios Leonis, Georgia Melagraki, Eugenia Valsami-Jones

Editors

Kunal Roy

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 14%
Student > Master 3 14%
Student > Doctoral Student 2 10%
Researcher 2 10%
Student > Ph. D. Student 2 10%
Other 2 10%
Unknown 7 33%
Readers by discipline Count As %
Chemistry 2 10%
Engineering 2 10%
Computer Science 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Materials Science 1 5%
Other 1 5%
Unknown 12 57%

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