SBIR/STTR Research Award

Selection of the Best Ligands from Combinatorial Library

Award identifier 11125279031e7ba43dff05ac80bb98be37e19c0f6a5e83f3fb11b623f5705524Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$117,240

Program and phase

SBIR · Phase I

Award year

2001

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Biolinx, LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION: (Provided by applicant) The development of a new selection system for phage display and other combinatorial libraries is proposed. Conventional affinity selection techniques contain an intrinsic logical contradiction. They are intended to select the best binding ligands to a given ligate, but the retrieval of the best binders is based upon breaking their affinity interaction with ligate. Thus, selection is actually performed by two criteria: (1) ligands should have affinity levels that are high enough to stay bound during washing cycles but (2) low enough to enable their elution. Such selection system favors species with moderate affinity rather than the ones with the highest affinities that a library possibly has to offer. Carbene-generating cleavable photocrosslinkers can serve as detachable anchors capable of covalent insertion into non-reactive plastics. We propose to apply these reagents for the reversible immobilization of ligates on non-adsorptive, low-background supports. The resulting selection system will include conventional washing and elution steps, but only as a means to eliminate non-specific and moderately specific ligands. The retrieval of the highest specificity ligands will not be based on breaking of their affinity interaction with ligate. Instead, cleavage in mild conditions of a specific bond incorporated in the anchor will "de-immobilize" the ligate together with the most specific ligands. The proposed approach is expected to deliver ligands with the affinity levels unmatched by currently used combinatorial selection techniques. This will bring new developments in many medical applications, particularly cancer diagnostics and treatment, by providing enhanced sensitivity and reliability of early detection assays, better drugs for chemotherapy and better targeting systems for drug delivery. PROPOSED COMMERCIAL APPLICATION: Screening of combinatorial libraries is a powerful method widely used for drug discovery, molecular markers research and molecular targeting (gene therapy, drug delivery, etc.). The proposed approach is expected to dramatically simplify and accelerate the selection process and to bring the affinity and specificity of resulting ligands to a new level. We anticipate a profound commercial interest to the proposed system (reagent kits, custom- modified plastic supports and complete library enrichment services) from major pharmaceutical companies and research centers.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.