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Recent Advances in QSAR Studies: Methods and Applications
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Recent Advances in QSAR Studies: Methods and Applications

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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Since the inception of this volume, the world’s nancial climate has radically changed. Theemphasishasshiftedfromboomingeconomiesandeconomicgrowth totherealityofrecessionanddiminishingoutlook. Witheconomicdownturncomes opportunity,inallareasofchemistryfromresearchanddevelopmentthroughto productregistrationandriskassessment,replacementsarebeingsoughtforcostly time-consumingprocesses. Leadingamongstthereplacementsaremodelswithtrue predictivecapability. Ofthesecomputationalmodelsarepreferred. This volume addresses a broad need within various areas of the chemical industries , from pharmaceuticals and pesticides to personal products to provide computationalmethodstopredicttheeffects,activitiesandpropertiesofmolecules. Itaddressestheuseofmodelstodesignnewmoleculesandassesstheirfateand effectsbothtotheenvironmentandtohumanhealth. Thereisanemphasisrunning throughoutthisvolumetoproducerobustmodelssuitableforpurpose. Thevolume aimstoallowthereaderto nddataanddescriptorsanddevelop,discoverandutilise validmodels. Gdansk, ‘ Poland TomaszPuzyn Jackson,MS,USA JerzyLeszczynski Liverpool,UK MarkT. D. Cronin May2009 CONTENTS Part I Theory of QSAR 1 QuantitativeStructure-ActivityRelationships(QSARs)- ApplicationsandMethodology…3 Mark T. D. Cronin 1. 1. Introduction…3 1. 2. PurposeofQSAR…4 1. 3. ApplicationsofQSAR…4 1. 4. Methods…5 1. 5. TheCornerstonesofSuccessfulPredictiveModels …7 1. 6. AValidated(Q)SARoraValidPrediction? …9 1. 7. UsinginSilicoTechniques …9 1. 8. NewAreasforinSilicoModels…11 1. 9. Conclusions…11 References …11 2 TheUseofQuantumMechanicsDerivedDescriptorsin ComputationalToxicology…13 Steven J. Enoch 2. 1. Introduction…13 2. 2. TheSchrodingerEquation…15 2. 3. Hartree-FockTheory…17 2. 4. Semi-EmpiricalMethods:AM1andRM1…18 2. 5. ABInitio:DensityFunctionalTheory…19 2. 6. QSARforNon-ReactiveMechanismsofAcute(Aquatic) Toxicity…19 2. 7. QSARsforReactiveToxicityMechanisms…21 2. 7. 1. AquaticToxicityandSkinSensitisation…21 2. 7. 2. QSARsforMutagenicity …24 2. 8. FutureDirectionsandOutlook…25 2. 9. Conclusions…26 References …26 vii viii Contents 3 MolecularDescriptors…29 Viviana Consonni and Roberto Todeschini 3. 1. Introduction…29 3. 1. 1. De nitions…29 3. 1. 2. History…31 3. 1. 3. Theoreticalvs. ExperimentalDescriptors…33 3. 2. MolecularRepresentation …35 3. 3. TopologicalIndexes…38 3. 3. 1. MolecularGraphs…38 3. 3. 2. De nitionandCalculationofTopologicalIndexes(TIs) 39 3. 3. 3. Graph-TheoreticalMatrixes…42 3. 3. 4. ConnectivityIndexes …48 3. 3. 5. CharacteristicPolynomial …50 3. 3. 6. SpectralIndexes …53 3. 4. AutocorrelationDescriptors …

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MORE INFO
Format
Hardback
Publisher
Springer-Verlag New York Inc.
Country
United States
Date
3 December 2009
Pages
414
ISBN
9781402097829

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Since the inception of this volume, the world’s nancial climate has radically changed. Theemphasishasshiftedfromboomingeconomiesandeconomicgrowth totherealityofrecessionanddiminishingoutlook. Witheconomicdownturncomes opportunity,inallareasofchemistryfromresearchanddevelopmentthroughto productregistrationandriskassessment,replacementsarebeingsoughtforcostly time-consumingprocesses. Leadingamongstthereplacementsaremodelswithtrue predictivecapability. Ofthesecomputationalmodelsarepreferred. This volume addresses a broad need within various areas of the chemical industries , from pharmaceuticals and pesticides to personal products to provide computationalmethodstopredicttheeffects,activitiesandpropertiesofmolecules. Itaddressestheuseofmodelstodesignnewmoleculesandassesstheirfateand effectsbothtotheenvironmentandtohumanhealth. Thereisanemphasisrunning throughoutthisvolumetoproducerobustmodelssuitableforpurpose. Thevolume aimstoallowthereaderto nddataanddescriptorsanddevelop,discoverandutilise validmodels. Gdansk, ‘ Poland TomaszPuzyn Jackson,MS,USA JerzyLeszczynski Liverpool,UK MarkT. D. Cronin May2009 CONTENTS Part I Theory of QSAR 1 QuantitativeStructure-ActivityRelationships(QSARs)- ApplicationsandMethodology…3 Mark T. D. Cronin 1. 1. Introduction…3 1. 2. PurposeofQSAR…4 1. 3. ApplicationsofQSAR…4 1. 4. Methods…5 1. 5. TheCornerstonesofSuccessfulPredictiveModels …7 1. 6. AValidated(Q)SARoraValidPrediction? …9 1. 7. UsinginSilicoTechniques …9 1. 8. NewAreasforinSilicoModels…11 1. 9. Conclusions…11 References …11 2 TheUseofQuantumMechanicsDerivedDescriptorsin ComputationalToxicology…13 Steven J. Enoch 2. 1. Introduction…13 2. 2. TheSchrodingerEquation…15 2. 3. Hartree-FockTheory…17 2. 4. Semi-EmpiricalMethods:AM1andRM1…18 2. 5. ABInitio:DensityFunctionalTheory…19 2. 6. QSARforNon-ReactiveMechanismsofAcute(Aquatic) Toxicity…19 2. 7. QSARsforReactiveToxicityMechanisms…21 2. 7. 1. AquaticToxicityandSkinSensitisation…21 2. 7. 2. QSARsforMutagenicity …24 2. 8. FutureDirectionsandOutlook…25 2. 9. Conclusions…26 References …26 vii viii Contents 3 MolecularDescriptors…29 Viviana Consonni and Roberto Todeschini 3. 1. Introduction…29 3. 1. 1. De nitions…29 3. 1. 2. History…31 3. 1. 3. Theoreticalvs. ExperimentalDescriptors…33 3. 2. MolecularRepresentation …35 3. 3. TopologicalIndexes…38 3. 3. 1. MolecularGraphs…38 3. 3. 2. De nitionandCalculationofTopologicalIndexes(TIs) 39 3. 3. 3. Graph-TheoreticalMatrixes…42 3. 3. 4. ConnectivityIndexes …48 3. 3. 5. CharacteristicPolynomial …50 3. 3. 6. SpectralIndexes …53 3. 4. AutocorrelationDescriptors …

Read More
Format
Hardback
Publisher
Springer-Verlag New York Inc.
Country
United States
Date
3 December 2009
Pages
414
ISBN
9781402097829