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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.
外商投資企業(yè)協(xié)會會員單位
最具品牌價值行業(yè)門戶
發(fā)改委十佳創(chuàng)新案例金典獎
電子行業(yè)協(xié)會副會長單位
哈爾濱最佳項目策劃智庫單位
深圳市商業(yè)聯(lián)合會會員單位
珠海招商合伙人
重慶市產(chǎn)業(yè)招商聯(lián)盟單位
中投顧問協(xié)辦的濟陽區(qū)（深圳） "新能源汽車產(chǎn)業(yè)"專題推介會
中投顧問受邀為合肥市投促部門作機器人產(chǎn)業(yè)招商培訓
中投顧問為珠海全市招商系統(tǒng)培訓產(chǎn)業(yè)招商大腦獲得圓滿成功
中投顧問為漢中市作"大數(shù)據(jù)招商、精準招商"培訓
中投顧問項目組赴安慶迎江經(jīng)開區(qū)調(diào)研
湖州市吳興區(qū)駐深辦來訪中投顧問
河北邢臺南宮市駐深領導赴中投顧問拜訪
中投顧問陪同廣州某經(jīng)開區(qū)領導赴外商協(xié)會治談合作
