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Chapter1
ExecutiveSummary
IndustrySnapshot1-1
ExecutiveSummary1-1
Chapter2
ExchangeRatesandGlossaryofTerms
GlossaryandExchangeRates2-1
GlossaryofTerms2-1
ExchangeRates2-4
Chapter3
IndustryChallenges
IndustryChallenges3-1
LackofCommonTechnologyStandardsinVirtualScreeningSolutions3-2
UncertaintyResultsinaSlowAdoptionofIn-silicoTechnologiesandModels3-2
TheReliabilityofModelsRequireRealExperimentalData3-3
IntegrationofDatafromVariousSources3-3
HighExpectationsDuetotheBenefitsofIn-silicoScreeningTools3-3
RegulatoryComplianceoftheDataCollectedandAnalysedbyIn-silicoTools3-4
Chapter4
MarketEngineeringResearchoftheVirtualScreeningMarketsinEurope
ForecastsfortheVirtualScreeningMarketsinEurope4-1
IntroductionandMarketOverview4-1
ResearchScopeandMethodology4-4
MarketSegmentation4-7
MarketEngineeringMeasurements4-7
MarketTrends4-8
MarketDrivers4-10
GreaterGenerationofDataIncreasestheDemandforBetterToolstoManageandAnalysetheData4-10
TheNeedtoIncreaseDrugProductivity4-11
In-silicoSolutionsIncreaseAdoptionandReturnonInvestment4-11
EliminationofFalseLeadsattheEarlyStageReducesAttritionRates4-11
VirtualScreeningDemandisDrivenbyanIncreaseinGovernmentalR&DSpending4-12
IncreasingTrendTowardsDryLaboratoryTechniques4-12
MarketRestraints4-12
LackofConsistentandAccurateDataCanRestraintheDevelopmenttoBuildBetterModels4-13
Non-standardandAlternativeDevelopingTechnologies
HindertheAcquisitionofHigh-quality，ReliableData4-13
AConservativeAttitudeonNewTechnologiesCanRestrainAdoption4-14
IncreasingUseofIn-houseIn-silicoTechnologiesMayMinimiseDrugPipelineTrials4-14
TotalRevenueForecasts4-14
TechnologyTrends4-17
SubstructureSearch4-17
SimilaritySearching4-17
QuantitativeStructureActivityRelationshipAnalysis4-18
Docking4-18
End-userTrends4-18
GeographicalTrends4-20
CompetitiveStructure4-23
FutureOpportunities4-25
Chapter5
MarketEngineeringResearchoftheVirtualScreeningMarketsinGermany
ForecastsfortheVirtualScreeningMarketsinGermany5-1
MarketEngineeringMeasurements5-1
TotalRevenueForecasts5-2
Chapter6
MarketEngineeringResearchoftheVirtual
ScreeningMarketsintheUnitedKingdom
ForecastsfortheVirtualScreeningMarketsintheUnitedKingdom6-1
MarketEngineeringMeasurements6-1
TotalRevenueForecasts6-2
Chapter7
MarketEngineeringResearchoftheVirtualScreeningMarketsinFrance
ForecastsfortheVirtualScreeningMarketsinFrance7-1
MarketEngineeringMeasurements7-1
TotalRevenueForecasts7-2
Chapter8
MarketEngineeringResearchoftheVirtualScreeningMarketsinSpain
ForecastsfortheVirtualScreeningMarketsinSpain8-1
MarketEngineeringMeasurements8-1
TotalRevenueForecasts8-2
Chapter9
MarketEngineeringResearchoftheVirtualScreeningMarketsinItaly
ForecastsfortheVirtualScreeningMarketsinItaly9-1
MarketEngineeringMeasurements9-1
TotalRevenueForecasts9-2
Chapter10
MarketEngineeringResearchoftheVirtual
ScreeningMarketsintheRest-of-Europe
ForecastsfortheVirtualScreeningMarketsintheRest-of-Europe10-1
MarketEngineeringMeasurements10-1
TotalRevenueForecasts10-2
Chapter11
MarketEngineeringStrategicRecommendations
StrategicRecommendations11-1
DevelopSolutionsthatEnableDataIntegrationfromaVarietyofTechniques11-2
HighQuality，AccurateandReliableData11-2
SegmentingtheMarketandClients11-3
SmallerBiotechCompaniesPresentNewOpportunities11-3
Chapter12
DecisionSupportDatabases
DecisionSupportDatabases12-1
Chapter13
DatabaseofKeyIndustryParticipants
KeyIndustryParticipants13-1
ListofKeyIndustryParticipants13-1
The history of virtual screening dates back from efforts made in the 1970s where compound database searches using 2D structural fragments or 3D queries, and the subsequent automated docking of ligands into protein binding sites were introduced. In the mid 1980s, the use of computational chemistry was noted as the fastest method within drug discovery. With the increasing regulatory climate, techniques such as high throughput screening and combinatorial
chemistry were expected to quicken the process of discovering drugs. However, these processes resulted in creating further bottlenecks by 'spewing' hundreds of thousands of compounds at receptors, which proved to be very inefficient. Today, the aim of virtual screening is to identify leads, and thus the objective is to find molecules that bind to the target with good predicted potency.
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