This book presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part consists of a comprehensive review of QSAR methodology. The second part highlights the interdisciplinary aspects and new areas of QSAR modelling.

Recent Advances in QSAR Studies: Methods and Applications presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part of this volume is handbook-esque and consists of a comprehensive review of QSAR methodology written by outstanding scientists and highly experienced lecturers. It focuses on methodology and new ideas, providing readers with an idea of recent trends and developments in each part of QSAR strategy (descriptors, methods of modelling, validation). The second part of this volume highlights the interdisciplinary aspects and new areas of QSAR modelling. It outlines the theoretical framework together with practical applications. The most optimal solutions (descriptors, mathematical/statistical methods, validation) in the individual areas of interest (environmental risk assessment, drug design, etc.) are also discussed in more detail.

Recent Advances in QSAR Studies: Methods and Applications is targeted at scientists who are focussed on developing new methodologies as well as researchers who are engaged in trying to solve specific problems via QSAR. Additionally, this volume should serve as an essential reference to promote interactions between members of the academic community and industry.

An interdisciplinary overview on recent advances in Quantitative StructureActivity Relationships (QSAR) studies Presents both a review of new ideas about methodology and new areas of QSAR applications A simply written, practical guide for academics, industrial scientists and decision makers taking their first steps in QSAR analysis

Autorentext
Jerzy Leszczynski, Professor of Chemistry and Presidential Distinguished Fellow, Department of Chemistry and Biochemistry, Jackson State University.

Klappentext

Recent Advances in QSAR Studies: Methods and Applications presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part of this volume is handbook-esque and consists of a comprehensive review of QSAR methodology written by outstanding scientists and highly experienced lecturers. It focuses on methodology and new ideas, providing readers with an idea of recent trends and developments in each part of QSAR strategy (descriptors, methods of modelling, validation). The second part of this volume highlights the interdisciplinary aspects and new areas of QSAR modelling. It outlines the theoretical framework together with practical applications. The most optimal solutions (descriptors, mathematical/statistical methods, validation) in the individual areas of interest (environmental risk assessment, drug design, etc.) are also discussed in more detail.

Recent Advances in QSAR Studies: Methods and Applications is targeted at scientists who are focussed on developing new methodologies as well as researchers who are engaged in trying to solve specific problems via QSAR. Additionally, this volume should serve as an essential reference to promote interactions between members of the academic community and industry.

Inhalt
Theory of QSAR.- Quantitative StructureActivity Relationships (QSARs) Applications and Methodology.- The Use of Quantum Mechanics Derived Descriptors in Computational Toxicology.- Molecular Descriptors.- 3D-QSAR Applications, Recent Advances, and Limitations.- Virtual Screening and Molecular Design Based on Hierarchical Qsar Technology.- Robust Methods in Qsar.- Chemical Category Formation and Read-Across for the Prediction of Toxicity.- Practical Application.- QSAR in Chromatography: Quantitative StructureRetention Relationships (QSRRs).- The Use of Qsar and Computational Methods in Drug Design.- In Silico Approaches for Predicting Adme Properties.- Prediction of Harmful Human Health Effects of Chemicals from Structure.- Chemometric Methods and Theoretical Molecular Descriptors in Predictive QSAR Modeling of the Environmental Behavior of Organic Pollutants.- The Role of Qsar Methodology in the Regulatory Assessment of Chemicals.- Nanomaterials the Next Great Challenge for Qsar Modelers.