SBIR/STTR Research Award
SPLIT-MAZE DISCOVERY OF ANTIOBESITY DRUGS
Award amount
$0Program and phase
SBIR · Phase IAward year
2002Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- NOVASITE PHARMACEUTICALS, INC.
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- Not reported
Research abstract
DESCRIPTION (Scanned from the Applicant's Abstract): At Novasite, we have
developed a novel system capable of screening compound libraries against
thousands of variants of the melanocortin-4 receptor simultaneously, at little
additional cost relative to wild type only screening systems. This new
technology allows a novel approach to drug discovery, called the Split-Maze,
based on the large scale generation and screening of variant receptors. We
randomize the receptor's binding site residues, resulting in expanded receptors
with enhanced recognition properties. For lead identification, we screen each
compound against thousands of variant receptors which results in identifying
novel and high potency lead compounds which act on variant receptors. For Lead
Optimization, we first identify the key interactions between the chemical
moieties of the lead compound and individual residues within the receptor so as
to guide docking of the compound into the receptor's binding site, resulting in
a biochemically derived structural model of the lead-receptor complex. In
addition, we analyze the changes in the identified lead-receptor interactions
to enhance the potency of the lead compound towards the receptor. The
structural template will then be used to convert the amino acid changes that
enhance the lead's potency into mirror-image modifications proposed on the
chemical compound, so as to optimize the lead compound's potency.
PROPOSED COMMERCIAL APPLICATION:
Our goal is discover a novel agonist to the melanocortin-4 receptor, which would be a potential antiobesity drug. Conservative estimates predict a >5 billion market of an antiobesity drug by the year 2005. We are developing a novel approach to drug discovery that incorporates combinatorial biology on the receptor and can screen thousands of receptor variants in one step. This new approach has the potential to develop higher quality leads, faster and cheaper than the current state of art.
Technology keywords
Not reported