Computational Design of Heterochiral Peptides against a Helical Target

Vikas Nanda* and William F. DeGrado§
Contribution from the Department of Biochemistry, Robert Wood Johnson Medical School, University of Medicine and Dentistry of New Jersey, Center for Advanced Medicine and Biotechnology, Piscataway, New Jersey 08854, Department of Biochemistry and Molecular Biophysics, School of Medicine, and Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104
J. Am. Chem. Soc., 2006, 128 (3), pp 809–816
DOI: 10.1021/ja054452t
Publication Date (Web): December 27, 2005
Copyright © 2006 American Chemical Society

Abstract

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Polypeptides incorporating d-amino acids occasionally occur in nature and are an important class of pharmaceutical molecules. With the use of heterochiral Monte Carlo (HCMC), a method inspired by the de novo design of proteins, we develop peptide scaffolds for interacting with a molecular target, a left-handed α-helix. The HCMC approach concurrently seeks to optimize a peptide sequence, its internal conformation, and its docked conformation with a target surface. Several major classes of interactions are observed:  (1) homochiral interactions between two αL helices, (2) heterochiral interactions between an αL and an αR helix, and (3) heterochiral interactions between the αL target and novel nonhelical structures. We explore the application of HCMC to simulating the preferential enantioselectivity of heterochiral complexes. Implications for biomimetic design in molecular recognition are discussed.

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History

  • Published In Issue January 25, 2006
  • Received July 5, 2005

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