Statistical Modelling of Molecular Descriptors in QSAR QSPR

This book PDF is perfect for those who love Medical genre, written by Matthias Dehmer and published by John Wiley & Sons which was released on 13 September 2012 with total hardcover pages 437. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Statistical Modelling of Molecular Descriptors in QSAR QSPR books below.

Statistical Modelling of Molecular Descriptors in QSAR QSPR
Author : Matthias Dehmer
File Size : 53,8 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 13 September 2012
ISBN : 9783527645015
Pages : 437 pages
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Statistical Modelling of Molecular Descriptors in QSAR QSPR by Matthias Dehmer Book PDF Summary

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures to employing data analysis and machine learning techniques for QSAR/QSPR. The high-profile international author and editor team ensures excellent coverage of the topic, making this a must-have for everyone working in chemoinformatics and structure-oriented drug design.

Statistical Modelling of Molecular Descriptors in QSAR QSPR

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures

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A Primer on QSAR QSPR Modeling

This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties.

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Recent Advances in QSAR Studies

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.

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Molecular Descriptors in QSAR QSPR

Download or read online Molecular Descriptors in QSAR QSPR written by Mati Karelson, published by Unknown which was released on 2000. Get Molecular Descriptors in QSAR QSPR Books now! Available in PDF, ePub and Kindle.

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Chemometrics Applications and Research

This important new book provides innovative material, including peer-reviewed chapters and survey articles on new applied research and development, in the scientifically important field of QSAR in medicinal chemistry. QSAR is a growing field because available computing power is continuously increasing, QSAR’s potential is enormous, limited only by the

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Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment

Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-activity relationship (QSAR) approaches and their fundamental principles. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR. Containing

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Graph Theoretical Matrices in Chemistry

Graph-Theoretical Matrices in Chemistry presents a systematic survey of graph-theoretical matrices and highlights their potential uses. This comprehensive volume is an updated, extended version of a former bestseller featuring a series of mathematical chemistry monographs. In this edition, nearly 200 graph-theoretical matrices are included. This second edition is organized like the

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Molecular Descriptors in QSAR QSPR

Molecular descriptors are mathematical values that describe the structure or shape of molecules, helping predict the activity and properties of molecules in complex experiments. This book describes the equations known as QSAR (quantitative structure-activity relationships) and QSPR (quantitative structure-property relationships), showing how they can be used productively in a wide

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