Abstract
Patented signal analytic algorithms applied to hydrophobically transformed, numerical amino acid sequences have previously been used to design short, protein‐targeted, L or D retro‐inverso peptides. These peptides have demonstrated allosteric and/or indirect agonist effects on a variety of G‐protein and tyrosine kinase coupled membrane receptors with 30% to over 80% hit rates. Here we extend these approaches to a globular protein target. We designed eight peptide ligands targeting an ELISA antibody responsive protein, β‐galactosidase, βGAL. Three of the eight 14mer peptides allosterically activated βGAL with ELISA methodology. Using Bayesian statistics, this 38% hit rate would have occurred 2 × 10^−9^ by chance. These peptides demonstrated binding site competitive or noncompetitive interactions, suggesting allosteric site multiplicity with respect to their βGAL binding‐mediated ELISA signal. Kinetic studies demonstrated the temperature dependence of the βGAL peptide binding functions. Using the van't Hoff relation, we found evidence for enthalpy–entropy compensation. This relation is often found for hydrophobic interactions in aqueous media, and is consistent with the postulated hydrophobic series encoding underlying our protein‐targeted, peptide design methods. It appears that our algorithmic, hydrophobic autocovariance eigenvector template approach to the design of allosteric peptides targeting membrane receptors may also be applicable to the design of peptide ligands targeting nonmembrane involved globular proteins. © 2006 Wiley Periodicals, Inc. Biopolymers 85: 38–59, 2007.
This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at [email protected]