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Produktbild: Data Mining in Drug Discovery
Band 57

Data Mining in Drug Discovery

Fr. 178.00

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.10.2013

Abbildungen

10 SW-Abb., 101 Farbabb., 12 Tabellen

Herausgeber

Rémy D. Hoffmann + weitere

Verlag

Wiley-VCH

Seitenzahl

352

Maße (L/B/H)

2.2/17.8/24.7 cm

Gewicht

910 g

Sprache

Englisch

ISBN

978-3-527-32984-7

Beschreibung

Rezension

"In summary, the book reflects the state-of-the-art for a rapidly changing field, with key emergent themes being the accessibility of public data, multiassay end-points for compounds, and the need to interpret these in the context of complex biological systems. It also usefully highlights some of the research challenges, with pointers to key likely future progress." ( ChemMedChem , 1 June 2014)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.10.2013

Abbildungen

10 SW-Abb., 101 Farbabb., 12 Tabellen

Herausgeber

Verlag

Wiley-VCH

Seitenzahl

352

Maße (L/B/H)

2.2/17.8/24.7 cm

Gewicht

910 g

Sprache

Englisch

ISBN

978-3-527-32984-7

Herstelleradresse

Wiley-VCH GmbH
Boschstr. 12
69469 Weinheim
Deutschland
Email: trade@wiley.com
Url: www.wiley-vch.de
Fax: +49 6201 606328

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Die Leseprobe wird geladen.
  • Produktbild: Data Mining in Drug Discovery
  • PrefaceA Personal ForewordPART ONE: Data SourcesPROTEIN STRUCTURAL DATABASES IN DRUG DISCOVERYThe Protein Data Bank: The Unique Public Archive of Protein StructuresPDB-Related Databases for Exploring Ligand-Protein RecognitionThe sc-PDB, A Collection of Pharmacologically Relevant Protein-Ligand ComplexesConclusionsPUBLIC DOMAIN DATABASES FOR MEDICINAL CHEMISTRYIntroductionDatabases of Small Molecule Binding and BioactivityTrends in Medicinal Chemistry DataDirectionsSummaryCHEMICAL ONTOLOGIES FOR STANDARDIZATION, KNOWLEDGE DISCOVERY, AND DATA MININGIntroductionBackgroundChemical OntologiesStandardizationKnowledge DiscoveryData MiningConclusionsBUILDING A CORPORATE CHEMICAL DATABASE TOWARD SYSTEMS BIOLOGYIntroductionSetting the SceneDealing with Chemical StructuresIncreased Accuracy of the Registration of DataImplementation of the PlatformLinking Chemical Information to Analytical DataLinking Chemicals to Bioactivity DataConclusionsPART TWO: Analysis and EnrichmentDATA MINING OF PLANT METABOLIC PATHWAYSIntroductionPathway RepresentationPathway Management PlatformsObtaining Pathway InformationConstructing Organism-Specific Pathway DatabasesConclusionsTHE ROLE OF DATA MINING IN THE IDENTIFICATION OF BIOACTIVE COMPOUNDS VIA HIGH-THROUGHPUT SCREENINGIntroduction to the HTS Process: The Role of Data MiningRelevant Data Architectures for the Analysis of HTS DataAnalysis of HTS DataIdentification of New Compounds via Compound Set Enrichment and DockingConclusionsTHE VALUE OF INTERACTIVE VISUAL ANALYTICS IN DRUG DISCOVERY: AN OVERVIEWCreating Informative VisualizationsLead Discovery and OptimizationGenomicsUSING CHEMOINFORMATICS TOOLS FROM RIntroductionSystem CallShared Library CallWrappingJava ArchivesConclusionsPART THREE: Applications to PolypharmacologyCONTENT DEVELOPMENT STRATEGIES FOR THE SUCCESSFUL IMPLEMENTATION OF DATA MINING TECHNOLOGIESIntroductionKnowledge Challenges in Drug DiscoveryCase StudiesKnowledge-Based Data Mining TechnologiesFuture Trends and OutlookAPPLICATIONS OF RULE-BASED METHODS TO DATA MINING OF POLYPHARMACOLOGY DATA SETSIntroductionMaterials and MethodsResultsDiscussionConclusionDATA MINING USING LIGAND PROFILING AND TARGET FISHINGIntroductionIn Silico Ligand Profiling MethodsSummary and ConclusionsPART FOUR: System Biology ApproachesDATA MINING OF LARGE-SCALE MOLECULAR AND ORGANISMAL TRAITS USING AN INTEGRATIVE AND MODULAR ANALYSIS APPROACHRapid Technological Advances Revolutionize Quantitative Measurements in Biology and MedicineGenome-Wide Association Studies Reveal Quantitative Trait LociIntegration of Molecular and Organismal Phenotypes Is Required for Understanding Causative LinksReduction of Complexity of High-Dimensional Phenotypes in Terms of ModulesBiclustering AlgorithmsPing-Pong AlgorithmModule Commonalities Provide Functional InsightsModule VisualizationApplication of Modular Analysis Tools for Data Mining of Mammalian Data SetsOutlookSYSTEMS BIOLOGY APPROACHES FOR COMPOUND TESTINGIntroductionStep 1: Design Experiment for Data ProductionStep 2: Compute Systems Response ProfilesStep 3: Identify Perturbed Biological NetworksStep 4: Compute Network Perturbation AmplitudesStep 5: Compute the Biological Impact FactorConclusions