A high-throughput platform for crystallography-based fragment screening
A high-throughput platform for crystallography-based fragment screening
批准号:
9761546
负责人:
ASHLEY M. DEACON
金额:
$48.65万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2021-07-31
关键词:
3-DimensionalAcademiaAdoptedAffinityBindingBiologicalBiological AssayBiophysicsChemicalsClinical TrialsCrystallizationCrystallographyCustomDataData AnalysesData CollectionData SetDatabasesDevelopmentDrug IndustryDrug TargetingFailureGoalsGoldHarvestImaging technologyIn SituIndustrializationIndustryInformaticsIntellectual PropertyInterventionJointsLeadLegal patentLibrariesLiquid substanceLocationMalignant NeoplasmsManualsMarketingMeasuresMethodsMolecularMolecular WeightMonitorNational Institute of General Medical SciencesNuclear Magnetic ResonanceOne-Step dentin bonding systemOutcomePharmaceutical ChemistryPharmaceutical PreparationsPhasePositioning AttributePreclinical TestingPreparationProcessProductionProtein FragmentProtein Structure InitiativeProteinsResourcesRoentgen RaysRouteSamplingScanningServicesSmall Business Innovation Research GrantSoftware ToolsStructureSurface Plasmon ResonanceSynchrotronsSystemTechniquesTechnologyTestingTimeToxic effectTranslational ResearchVertebral columnX ray diffraction analysisX-Ray Crystallographyanalysis pipelinebasebiophysical techniquescommercial applicationcommercializationcomputational platformcomputerized data processingcostcost effectivedata managementdata structuredensitydesigndrug candidatedrug developmentdrug discoverydrug marketexperimental studyhigh throughput screeningimaging systemimprovedinterestnew therapeutic targetnovelnovel lead compoundnovel therapeuticsoff-patentoncologyprogramsscreeningsoftware developmentstructural biologystructural genomicssuccessthree dimensional structuretool
中文摘要
项目总结/文摘
英文摘要
Project Summary/Abstract
Fragment-based drug discovery (FBDD) is a widely used method in the pharmaceutical industry for the de
novo design of molecules that target new drug candidates. FBDD allows a more effective exploration of
chemical space with a higher hit rate compared to high-throughput screening, and this can have significant
effects in early drug discovery and in the case of challenging or “non-druggable” targets. FBDD has led to
around 30 new drugs entering clinical trials and 2 that have entered the market. FBDD can also be used to
discover and develop novel molecules for well-validated and important drug targets that already have marketed
drugs against them, both for increasing efficacy with lower toxicity as well as creation of new intellectual
property for off-patent drugs. Protein x-ray crystallography (PX) is the gold standard for determining the exact
3D location and orientation of a given fragment bound to a drug target. PX can also detect a wider range of
binding affinities compared to other biophysical methods for fragment and compound screening and is
independent of protein size. However, crystallography is expensive and inefficient for screening a large
fragment library due to significant bottlenecks in mass production of crystals for co-crystallization, crystal
soaking with fragments, crystal harvesting, X-ray data collection, structure determination and analysis.
Complementary biophysical techniques are often used to prescreen for fragments that bind and PX is then
used in a second step to determine the exact binding pose of each fragment. Accelero Biostructures is
developing a first-to-market, efficient, one-step PX-based fragment library-screening platform that can
revolutionize the field by dramatically increasing the efficiency and reducing the cost of developing novel lead
molecules for preclinical testing. In Phase I we evaluated a high-density crystallization grid that dramatically
increased the efficiency of target-fragment co-crystallization, crystal soaking with fragments and synchrotron-
based data collection, leading to a hit rate of ~5% in a single step while simultaneously producing 3D details of
protein-fragment interactions. After successfully completing our Phase I aims, we are now moving ahead with
our Phase II plan to integrate this experimental technology with a distributed computational crystallography
pipeline and data management/informatics backbone that will allow us to efficiently process a large fragment
library screen. We will use several druggable and non-druggable oncology targets implicated in various
cancers, from our industry and academic customers, as proof-of-concept systems to demonstrate the utility of
our overall platform. Our plans are well-aligned with all of NCATS Drug Discovery and Development SBIR
topics of interest: “Tools and technologies to enable assaying of compound activity on currently “non-
druggable” targets”; “Co-crystallization high-throughput screening techniques”; “Tools and technologies that
increase the predictivity or efficiency of medicinal chemistry, biologic or other intervention optimization”; and
“Development of high-throughput imaging technologies that focus on making translational research more
efficient”.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
ROBOTIC AUTOMATIC CRYSTAL SCREENING SYSTEM DEVELOPMENT
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批准号:6976358
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项目类别:
-
资助金额:$6.37万
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财政年份:2004
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负责人:ASHLEY M. DEACON
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依托单位:
JCSG -STRUCTURAL GENOMICS
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批准号:6976295
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项目类别:
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资助金额:$0.95万
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财政年份:2004
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负责人:ASHLEY M. DEACON
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依托单位:
海外基金