Method to generate highly stable D-amino acid analogs of bioactive helical peptides using a mirror image of the entire PDB.

Autor: Garton, Michael, Satra Nim, Kim, Philip M., Stone, Tracy A., Deber, Charles M., Kyle Ethan Wang
Předmět:
Zdroj: Proceedings of the National Academy of Sciences of the United States of America; 2/13/2018, Vol. 115 Issue 7, p1505-1510, 6p
Abstrakt: Biologics are a rapidly growing class of therapeutics with many advantages over traditional small molecule drugs. A major obstacle to their development is that proteins and peptides are easily destroyed by proteases and thus, typically have prohibitively short half-lives in human gut, plasma and cells. One of the most effective ways to prevent degradation is to engineer analogs from dextrorotary (D)-amino acids, with up to 105-fold improvements in potency reported. We here propose a general peptide-engineering platform that overcomes limitations of previous methods. By creating a mirror image of every structure in the Protein Data Bank (PDB), we generate a database of ∼2.8 million D-peptides. To obtain a D-analog of a given peptide, we search the (D)-PDB for similar configurations of its critical--"hotspot"--residues. As a proof of concept, we apply our method to two peptides that are Food and Drug Administration approved as therapeutics for diabetes and osteoporosis, respectively. We obtain D-analogs that activate the GLP1 and PTH1 receptors with the same efficacy as their natural counterparts and show greatly increased half-life. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index