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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 m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Roy, Kunal, 1971- (Autor), Kar, Supratik (Autor), Das, Rudra Narayan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Academic Press, an imprint of Elsevier, [2015]
�2015
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Roy, Kunal,  |d 1971-  |e author. 
245 1 0 |a Understanding the basics of QSAR for applications in pharmaceutical sciences and risk assessment /  |c Kunal Roy, Supratik Kar, Rudra Narayan Das. 
260 |a Amsterdam ;  |a Boston :  |b Academic Press, an imprint of Elsevier,  |c [2015] 
264 4 |c �2015 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
588 0 |a Online resource; title from PDF title page (Ebsco, viewed March 18, 2015). 
504 |a Includes bibliographical references and index. 
520 |a 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 real-world examples that illustrate important methodologies, this book identifies QSAR as a valuable tool for many different applications, including drug discovery, predictive toxicology and risk assessment. Written in a straightforward and engaging manner, this is the ideal resource for all those looking for general and practical knowledge of QSAR methods. 
505 0 |a Machine generated contents note: 1. Background of QSAR and Historical Developments -- 1.1. Introduction -- 1.2. Physicochemical Aspects of Biological Activity of Drugs and Chemicals -- 1.3. Structure -- Activity Relationship -- 1.4. Historical Development of QSARs: a Journey of Knowledge Enrichment -- 1.5. Applications of QSAR -- 1.6. Regulatory Perspectives of QSAR -- 1.7. Overview and Conclusion -- References -- 2. Chemical Information and Descriptors -- 2.1. Introduction -- 2.2. Concept of Descriptors -- 2.3. Type of Descriptors -- 2.4. Descriptors Commonly Used in QSAR Studies -- 2.5. Overview and Conclusion -- References -- 3. Classical QSAR -- 3.1. Introduction -- 3.2. The Free -- Wilson Model -- 3.3. The Fujita -- Ban Model -- 3.4. The LFER Model -- 3.5. Kubinyi's Bilinear Model -- 3.6. The Mixed Approach -- 3.7. Overview and Conclusions -- References -- 4. Topological QSAR -- 4.1. Introduction -- 4.2. Topology: A Method of Chemical Structure Representation -- 4.3. Graphs and Matrices: Platforms for the Topological Paradigm -- 4.4. Topological Indices -- 4.5. Conclusion and Possibilities -- References -- 5.Computational Chemistry -- 5.1. Introduction -- 5.2.Computer Use in Chemistry -- 5.3. Conformational Analysis and Energy Minimization -- 5.4. Molecular Mechanics -- 5.5. Molecular Dynamics -- 5.6. Quantum Mechanics -- 5.7. Overview and Conclusion -- References -- 6. Selected Statistical Methods in QSAR -- 6.1. Introduction -- 6.2. Regression-Based Approaches -- 6.3. Classification-Based QSAR -- 6.4. Machine Learning Techniques -- 6.5. Conclusion -- References -- 7. Validation of QSAR Models -- 7.1. Introduction -- 7.2. Different Validation Methods -- 7.3.A Practical Example of the Calculation of Common Validation Metrics and the AD -- 7.4. QSAR model reporting format -- 7.5. Overview and Conclusion -- References -- 8. Introduction to 3D-QSAR -- 8.1. Introduction -- 8.2.Comparative Molecular Field Analysis -- 8.3.Comparative Molecular Similarity Indices Analysis -- 8.4. Molecular Shape Analysis -- 8.5. Receptor Surface Analysis -- 8.6. Other Approaches -- 8.7. Overview and Conclusions -- References -- 9. Newer QSAR Techniques -- 9.1. Introduction -- 9.2. HQSAR -- 9.3.G-QSAR -- 9.4. Other Approaches -- 9.5. Overview and Conclusions -- References -- 10. Other Related Techniques -- 10.1. Introduction -- 10.2. Pharmacophore -- 10.3. Structure-Based Design -- Docking -- 10.4.Combination of Structure- and Ligand-Based Design Tools -- 10.5. In sillco Screening of Chemical Libraries: VS -- 10.6. Overview and Conclusions -- References -- 11. SAR and QSAR in Drug Discovery and Chemical Design -- Some Examples -- 11.1. Introduction -- 11.2. Successful Applications of QSAR and Other In Sillco Methods: Representative Examples -- 11.3. Conclusion -- References -- 12. Future Avenues -- 12.1. Introduction -- 12.2. Application Areas -- 12.3. Conclusion -- References. 
650 0 |a QSAR (Biochemistry) 
650 0 |a Pharmacology. 
650 2 |a Pharmacological Phenomena  |0 (DNLM)D000069437 
650 2 |a Quantitative Structure-Activity Relationship  |0 (DNLM)D021281 
650 2 |a Pharmacology  |0 (DNLM)D010600 
650 6 |a Relations structure-activit�e quantitatives (Biochimie)  |0 (CaQQLa)201-0379113 
650 6 |a Pharmacologie.  |0 (CaQQLa)201-0007219 
650 7 |a pharmacology.  |2 aat  |0 (CStmoGRI)aat300137970 
650 7 |a MEDICAL  |x Pharmacology.  |2 bisacsh 
650 7 |a Pharmacology  |2 fast  |0 (OCoLC)fst01060259 
650 7 |a QSAR (Biochemistry)  |2 fast  |0 (OCoLC)fst01084801 
700 1 |a Kar, Supratik,  |e author. 
700 1 |a Das, Rudra Narayan,  |e author. 
776 0 8 |i Print version:  |a Roy, Kunal, 1971-  |t Understanding the basics of QSAR for applications in pharmaceutical sciences and risk assessment.  |d Amsterdam ; Boston : Academic Press, an imprint of Elsevier, [2015]  |w (DLC) 2015932016 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128015056  |z Texto completo