SBIR/STTR Research Award

Design of target-specific libraries for fragment based drug discovery

Award identifier d7948cb62164b8e4aa4a18722e8b0ff3a5604d2a4dc42dec6a5987c959fb496eAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ACPHARIS
Proposal award date
2016-06-01
Contract end date
2018-05-31
UEI
E4Z3M7L7NHT3
Solicitation number
PA15-269
Topic code
300

Research abstract

DESCRIPTION provided by applicant Fragment based drug discovery FBDD is a combinatorial approach in which individual fragments binding to regions of the target site ar selected from a fragment library and then combined to form potential lead compounds Since it is easier to find small molecules that complement a particular subsite within a binding site than larger molecules that are complementary to the entire site FBDD usually yields higher hit rates than high throughput screening Once initial fragment hits are identified the goal of FBDD is to expand them into larger and stronger binding lead compounds through medicinal chemistry This step relies on the premise that the interactions between a fragment hi and the protein are sufficiently strong and specific that the fragment binding mode willbe robust and thus will be conserved as the fragment is grown In spite of the high hit rate for a variety of targets the standard fragment libraries do not yield stable binding hits that can serve as starting points for FBDD The goal of this proposal is to develop and validate software that given the D structure of a target protein enables the selection of fragments that provid hits with sufficiently stable binding modes for expansion The approach is based on th concept of binding hot spots i e regions of the binding site that contribute most o the free energy of binding any ligand determined by the protein mapping software developed by Acpharis Recent studies show that for a given fragment a high degree of overlap with the top hot spot leads to robust binding Accordingly the proposed protocol includes preparing a large initial collection of fragments e g by filtering for PAINS determinin the binding hot spots and pharmacophores of the target protein shape based filtering for fragments that have the required overlap with the main hot spot further filtering to select fragments with pharmacophores that overlap well with the structure based pharmacophores from mapping another filter based on docking and scoring of the fragments from the previous steps The protocol will also explore some elements of fragment expansion by determining andquot chemical handlesandquot i e sites on the fragments where functional groups can be added e g by searching for larger compounds that have the selected fragments as substructures and testing whether such compounds extend into additional hot spots that contribute to the binding free energy The protocol will be demonstrated by constructing fragment libraries for the discovery of novel compounds to disrupt the interaction between the immunoregulatory cytokine Interleukin IL and the IL receptor subunit IL R which is a well studied example of protein protein interacton targets The library will be screened by N H heteronuclear single quantum coherence HSQC NMR measurements and the results of the experiments will be used to improve the library construction algorithm PUBLIC HEALTH RELEVANCE Fragment based drug discovery FBDD is a combinatorial approach in which individual fragments binding to regions of the target site are selected from a fragment library and then combined to form potential lead compounds The goal of this proposal is to develop and validate a protocol and software that given a taget protein enable selecting a library of fragments that provide hits with robust binding modes and thus increase the likelihood of successful FBDD

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

11 SBIR/STTR records share this UEI (2011–2025). Reported award amounts total $1,884,947. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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