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Qspr/Qsar Studies By Molecular Descriptors

various physico-chemical properties may be subjected to QSPRQSAR studies, the major application field of these models is drug discovery;

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QSAR and Molecular Modeling Studies in Heterocyclic Drugs I

P.R. Duchowicz, E.A. Castro, A.A. Toropov, E. Benfenati: Applications of Flexible Molecular Descriptors in the QSPR-QSAR Study;

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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

employing data analysis and machine learning techniques for QSARQSPR. The high-profile international author and editor team ensures excellent;

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Chemometrics Applications and Research: Qsar in Medicinal Chemistry

was marked by an increase in the number of studies regarding QSAR applications for both understanding the sweetness mechanism and synthesizing novel;

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Chemometrics Applications and Research

that the last decade was marked by an increase in the number of studies regarding QSAR applications for both understanding the sweetness;

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QSAR and Molecular Modeling Studies in Heterocyclic Drugs I

Qsar and Molecular Modeling Studies in Heterocyclic Drugs is een boek van Springer;

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QSAR and Molecular Modeling Studies in Heterocyclic Drugs II

QSAR and Molecular Modeling Studies in Heterocyclic Drugs II is een boek van M. K. Gupta;

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Physicochemical Treatment of Hazardous Wastes

Structure and Activity Relationship (QSAR) between kinetic rate constants and molecular descriptors. The author explores how to use these models to;

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Quantitative Structure - Activity Relationship

mathematical function and x1, ..., xn are n molecular descriptors. Since the introduction of the initial concept of QSAR in the early 1960s, numerous;

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Quantitative Structure - Activity Relationship: A Practical Approach

mathematical function and x1, ..., xn are n molecular descriptors. Since the introduction of the initial concept of QSAR in the early 1960s, numerous;

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Reviews in Computational Chemistry, Volume 2

, electrostatic potentials, electronic spectroscopy, molecular property correlations, and the computational chemistry literature. Methodologies described;

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QSAR and SPECTRAL-SAR in Computational Ecotoxicology

QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information;

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QSAR and SPECTRAL-SAR in Computational Ecotoxicology

QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information;

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SAR

SAR focuses on the quantitative structure-activity relationship (QSAR) of the disposition and activities of various pharmacological groups;

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Tutorials in Chemoinformatics

: * Data curation and standardization * Development and use of chemical databases * Structure encoding by molecular descriptors, text strings and;

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Advances in Mathematical Chemistry and Applications: Volume 1

chemistry. Editors Subhash C. Basak, Guillermo Restrepo, and Jose Luis Villaveces have brought together 27 chapters written by 68 internationally;

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Support Vector Machine In Chemistry

algorithms of SVM, and demonstrates the application examples of SVM in QSARQSPR work, materials and experimental design, phase diagram prediction;

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Drug Design Strategies

covers theory and application of 2D cheminformatics, QSARQSPR, ADME properties of drugs, drug docking/scoring protocols and approaches;

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Handbook of Chemoinformatics Algorithms

molecular descriptors, virtual screening methods, and quantitative structure-activity relationship (QSAR) models, before introducing algorithms to;

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An Introduction to Chemoinformatics

field. The first part of the book deals with the representation of 2D and 3D molecular structures, the calculation of molecular descriptors and;

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An Introduction to Chemoinformatics

field. The first part of the book deals with the representation of 2D and 3D molecular structures, the calculation of molecular descriptors and;

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Genetic Algorithms in Molecular Modeling

Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume;

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Reviews in Computational Chemistry, Volume 31

dynamics, and quantitative structure-activity relationships (QSAR). This volume, like those prior to it, features chapters by experts in various;

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Reviews in Computational Chemistry

dynamics, and quantitative structure-activity relationships (QSAR). This volume, like those prior to it, features chapters by experts in various;

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Advances in QSAR Modeling

(QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines;

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Application of Computational Techniques in Pharmacy and Medicine

of computational techniques that utilize hybrid, so called QM/MM approximations as well as the results of the QSAR studies which now are the most popular;

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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;

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