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QSAR Model Validation
Umeå University, Faculty of Science and Technology, Department of Chemistry. (Research Group for Chemometrics)
2000 (English)In: Molecular Modeling and Prediction of Bioactivity, Kluwer Academic/Plenum Publishers, New York , 2000, 271-272 p.Chapter in book (Other (popular science, discussion, etc.))
Abstract [en]

The book covers the challenging process from lead finding to drug candidates. Topics include new developments in chemometrics and rational molecular design as well as different aspects of structure representation, knowledge-based approaches to structure identification, and information handling.

Place, publisher, year, edition, pages
Kluwer Academic/Plenum Publishers, New York , 2000. 271-272 p.
Identifiers
URN: urn:nbn:se:umu:diva-8444ISBN: 0-306-46217-6 (print)OAI: oai:DiVA.org:umu-8444DiVA: diva2:148115
Note

Section I: Overview. . Section II: New Developments and Applications of Multivariate QSAR. Section III: The Future of 3D-QSAR. Section IV: Prediction of Ligand-Protein Binding. Section VI:Affinity and Efficacy Models of G-Protein Coupled Receptors. Section VII: New Methods in Drug DiscoverySection VIII: Modeling of Membrane Penetration. Section IX: Poster Presentations. Poster Session I: New Developments and Applications of Multivariate QSAR. Poster Session II: The Future of 3D-QSAR. Poster Session III: Prediction of Ligand-Protein Binding. Poster Session IV: Computational Aspects of Molecular Diversity and Combinatorial Libraries. Poster Session V: Affinity and Efficacy Models of G-Protein Coupled Receptors. Poster Session VI: New Methods in Drug Discovery. Poster Session VII: Modelling of Membrane Penetration. Author Index. Subject Index.

Available from: 2008-01-22 Created: 2008-01-22 Last updated: 2013-02-28Bibliographically approved

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Wold, Svante

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Citation style
  • apa
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Output format
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