Methods Corner

Mimicking Peptides… In Silico

  1. Matteo Floris1,
  2. Stefano Moro2,*

Article first published online: 5 OCT 2011

DOI: 10.1002/minf.201100093

Issue

Molecular Informatics

Molecular Informatics

Volume 31, Issue 1, pages 12–20, January 2012

Additional Information

How to Cite

Floris, M. and Moro, S. (2012), Mimicking Peptides… In Silico. Mol. Inf., 31: 12–20. doi: 10.1002/minf.201100093

Author Information

  1. 1

    CRS4, Biomedicine Sector, Parco Polaris, Pula (CA) 09010, Italy

  2. 2

    Molecular Modeling Section (MMS), Department of Pharmaceutical Sciences, University of Padova, 35131 Padova, Italy

*Molecular Modeling Section (MMS), Department of Pharmaceutical Sciences, University of Padova, 35131 Padova, Italy

Publication History

  1. Issue published online: 17 JAN 2012
  2. Article first published online: 5 OCT 2011
  3. Manuscript Accepted: 5 AUG 2011
  4. Manuscript Received: 5 JUN 2011

Funded by

  • University of Padova
  • Italian Ministry for University and Research
  • MIUR. Grant Numbers: PRIN2008, 200834TC4L_002

SEARCH

SEARCH BY CITATION

ARTICLE TOOLS

View Full Article (HTML) Get PDF (1189K)

Keywords:

  • Peptidomimetics;
  • Drug discovery;
  • In silico methods

Abstract

Protein-protein interactions (PPIs) play a central and crucial role in almost every cellular process. Understanding the structural basis of protein-protein interactions can lead to the development of new drugs for treatment of various diseases. With this purpose, peptide-based drug design (PBDD) has been extensively explored in the last few decades. Peptidomimetics are compounds which mimic the biological activity of peptides while offering the advantages of improving their pharmacokinetics profiles. In this review, we would like to summarize the state of the art of computational methods which have been recently introduced to design novel peptidomimetics involved in a therapeutically relevant protein-protein recognition processes.

View Full Article (HTML) Get PDF (1189K)