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...
Clasificación: | Libro Electrónico |
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Autores principales: | , , |
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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020 | |a 9781336100992 |q (electronic bk.) | ||
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020 | |a 0128016337 |q (electronic bk.) | ||
020 | |z 9780128015056 | ||
020 | |z 0128015055 | ||
035 | |a (OCoLC)904792515 |z (OCoLC)968100088 |z (OCoLC)969054602 |z (OCoLC)1066458973 |z (OCoLC)1105197248 |z (OCoLC)1105571829 |z (OCoLC)1235825311 | ||
050 | 4 | |a RM301.42 | |
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072 | 7 | |a MED |x 071000 |2 bisacsh | |
082 | 0 | 4 | |a 615.19 |2 23 |
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 | ||
337 | |a computer |b c |2 rdamedia | ||
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 |