SBIR/STTR Research Award
Biacore T100+ for binding affinity measurements to support epitope mapping
Award amount
$2,017,667Program and phase
SBIR · Phase IIAward year
2017Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- Reclaim Pharmaceutical Waste Management, LLC
- Proposal award date
- 2017-09-21
- Contract end date
- 2019-08-31
- UEI
- Not reported
- Solicitation number
- PA18-591
- Topic code
- 400
Research abstract
Project Summary Abstract
Protein therapeutics are the fastest growing segment of the pharmaceutical marketyet there are two important
challenges associated with the discovery and development of biologic drugsepitope paratope mapping andD structural analysisEpitope and paratope mapping are essential parts of identifying the most therapeutically
relevant lead candidates for advancement to in vivo testingAccurately mapping epitopes can help identify
therapeutic candidates that bind to the desired region of an antigen based on the mechanism of actionwhile
characterizing paratopes frequently forms the basis for intellectual property strategiesProteinD structural
analysis is crucial for many downstream activities throughout the drug development processand it most often
is required to ensure that manufacturingshippingstorageand formulation do not have an unintended impact
on protein structureIn additionD structural analysis plays a critical role in ensuring biosimilars under
development are structurally similar to their branded originator drugCurrent analytical strategies for epitope paratope mapping andD structural analysis of protein therapeutics
are often inadequate for the early stages of drug discovery and developmentIn responseQuarryBio and its
research partners at Indiana University and the University of Massachusetts Amherst have developed a new
mass spectrometry based method that uses covalent labeling to identify epitopes and paratopes and can
detect changes in proteinD structure accurately and sensitivelyResearch during Phase I demonstrated that
this method is quickeasy to use and provides sufficient resolution for both epitope mapping andD structural
analysis of protein therapeuticsSuccess during Phase I was possible because of the creation of a customized
data analysis software pipeline that could successfully identify and quantify covalently labeled sites in proteinsallowing the needed protein structural information to be obtainedPhase II will build off these successful
preliminary studiesthereby preparing this technology for commercializationThree specific aims will be
pursuedwe will demonstrate the ability of our covalent labeling technology to provide robust structural
information and to map epitopes and paratopes in mAb antigen complexeswe will automate data analysis
and visualization by creating protocols that minimize the manual manipulations associated with our customized
softwareandwe will develop laboratory automation for sample preparation activities to improve the
reproducibility of our measurementsAt the end of Phase IIwe expect that our covalent labeling technology and data analysis software pipeline will
be fully ready for commercializationQuarryBio has fee for service contracts in place with seven biotech
clientsdemonstrating the commercial potential of this technologyThe work proposed here will significantly
improve the qualityreproducibilityand throughput of our approach and demonstrate how our methodology
can be used for key decision steps during early stage biologic drug discovery and development Project Narrative
Epitope mapping and high resolution biophysical characterization are critical elements for identifying biologic
drug lead candidatesUnfortunatelycurrent analytical strategies are inadequate for obtaining epitope mapping
data until after lead candidate selection and are not able to deliver high resolution analyses of proteinD
structure quickly and cheaply enough for the early stages of drug discovery and developmentIn this SBIR
Phase II projectQuarryBioLLC will develop a mass spectrometry method that uses labeling to identify
epitopes and paratopes as well as detect changes in proteinD structureproviding high resolution protein
structure analyses without the limitations of existing methods
Technology keywords
Not reported
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