This application builds on a foundation of recent results from our laboratory detailing a general strategy for the design of beta-peptides that are highly 14-helical in water and bind with high affinity to protein surfaces, such as the p53AD interaction domain of hDM2.
In Aim 1 we explore the structural features that contribute to 14-helix stability in water and the ability of the 14-helical beta-peptide beta53-1 to recognize protein surfaces. We will complete an extensive """"""""host-guest"""""""" analysis that will classify all proteinogenic and selected non-proteinogenic side chains as 14-helix stabilizing, destabilizing, or neutral, generating a database of position-dependent, 14-helix propensities in water; determine the NMR solution structure of beta53-1 to support the host-guest data and guide future design efforts; and explore whether the stability or affinity of beta53-1 can be improved by introduction of cyclic ACHC residues.
In Aim 2 we build on the results of Aim 1 to design beta-peptide ligands for the envelope glycoproteins of 3 viruses that threaten human health, national security, or both: HIV, human respiratory syncytial virus (HRSV), and the coronavirus that causes severe acute respiratory syndrome (SARS-CoV). The experiments in Aim 2 will validate our betapeptide design strategy in a system that is highly relevant and tractable, and will likely provide leads for future drug development.
In Aim 3 we develop methods to synthesize, analyze, and screen beta-peptide combinatorial libraries, and use them to optimize the affinities (and minimize the size) of beta-peptides identified in Aims 1 and 2.
This aim also includes an experiment to identify cell-permeable beta53-1 library members, information that will guide design of beta-peptide ligands for additional validated targets. Taken together, the experiments in this application will provide fundamental information on ligand design and help achieve 1 of the most central and critical (yet unmet) goals of chemical biology research, the rapid identification of high affinity ligands for the vast array of potential non-enzymatic protein targets.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM074756-02
Application #
7103421
Study Section
Synthetic and Biological Chemistry B Study Section (SBCB)
Program Officer
Basavappa, Ravi
Project Start
2005-08-01
Project End
2009-07-31
Budget Start
2006-08-01
Budget End
2007-07-31
Support Year
2
Fiscal Year
2006
Total Cost
$417,607
Indirect Cost
Name
Yale University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
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