The overall goal of these studies is to continue to develop and validate two complementary computational methods for discovery of novel opioid receptor ligands that could be useful analgesics with diminished respiratory depression and addiction liability. Discovery of such behaviorally selective ligands should enhance the usefulness of opioids as clinical analgesics. The working hypothesis employed is that ligands that bind with significant affinity to the three cloned opioid receptors (mu, delta, and kappa), but with different combinations of activation and inhibition properties at the three receptors, could be the most promising behaviorally selective agents. To identify such candidates, a novel method, DistComp, developed in our laboratory, will be used to obtain 3D pharmacophores that contain the common molecular determinants for ligand recognition of all three receptors and unique determinants for ligand activation of each of them. These pharmacophores will then be used to search 3D databases for compounds that fulfill their requirements. This search will lead directly to the discovery of novel candidate ligands for the opioid receptors as well as provide a validation of the 3D pharmacophores. The second computational method to be employed is structure based assessment of the novel compounds discovered as ligands for the three opioid receptors. These models will be used for simulations of explicit receptor complexes with these putative ligands. Compounds that pass both types of computational assessments will be selected for experimental determination of receptor affinities in transfected cell systems to further identify promising new ligands for the opioid receptor.

Proposed Commercial Applications

Opioids remain very useful clinical analgesics with unique antinociceptive profiles. However concern about addiction liability and respiratory depression is a long standing impediment to their optimum utilization. The promising new opioid ligands identified in this study could have better separation between these end points and hence be worthwhile targets for commercial application.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43DA013023-01
Application #
6054651
Study Section
Special Emphasis Panel (ZRG1-BDCN-1 (02))
Program Officer
Hillery, Paul
Project Start
1999-09-30
Project End
2000-03-31
Budget Start
1999-09-30
Budget End
2000-03-31
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Moltech Corporation
Department
Type
DUNS #
957420771
City
Palo Alto
State
CA
Country
United States
Zip Code
94303
Filizola, M; Villar, H O; Loew, G H (2001) Molecular determinants of non-specific recognition of delta, mu, and kappa opioid receptors. Bioorg Med Chem 9:69-76