Identification of a RON tyrosine kinase receptor binding peptide using phage display technique and computational modeling of its binding mode

Omid Zarei, Silvia Benvenuti, Fulya Ustun-Alkan, Maryam Hamzeh-Mivehroud, Siavoush Dastmalchi

Research output: Contribution to journalArticle

Abstract

RON (Recepteur d’Origine Nantais) tyrosine kinase receptor is a promising target for therapeutic intervention in cancer therapy. The aim of this work was identification of RON-binding peptides using phage display and computational modeling their mode of binding. A 12-mer peptide phage library was utilized to perform biopanning against RON. The RON-binding ability of the selected peptide-displaying phage and their possible binding sites were examined by ELISA. Binding modes and affinities were also predicted by docking and molecular dynamics (MD) simulation. The results of ELISA experiment showed that P6 peptide displaying phage has higher affinity for RON compared to others and its binding site is located out of ligand binding site. Docking and MD simulation results also indicated higher affinity of P6 to RON as well as its exosite-binding feature. Taken together, our data suggest a capacity for P6 peptide (FEHSLYKEMTHL) to be utilized as RON binding agent, and hence be used for various purposes, including design of drug delivery systems for transferring cytotoxic agents to RON-positive cancer cells, interfering with RON signaling, peptidomimetics design, and diagnostic imaging.

Original languageEnglish
Article number267
JournalJournal of Molecular Modeling
Volume23
Issue number9
DOIs
Publication statusPublished - Sep 1 2017

Fingerprint

Bacteriophages
tyrosine
Receptor Protein-Tyrosine Kinases
Peptides
peptides
Display devices
Binding sites
Binding Sites
affinity
Molecular dynamics
Peptidomimetics
cancer
molecular dynamics
Cytotoxins
Computer simulation
Ligands
Cells
therapy
delivery
drugs

Keywords

  • Cancer
  • Docking
  • MSP
  • Peptide
  • Phage display
  • RON
  • Targeted therapy

ASJC Scopus subject areas

  • Catalysis
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Computational Theory and Mathematics
  • Inorganic Chemistry

Cite this

Identification of a RON tyrosine kinase receptor binding peptide using phage display technique and computational modeling of its binding mode. / Zarei, Omid; Benvenuti, Silvia; Ustun-Alkan, Fulya; Hamzeh-Mivehroud, Maryam; Dastmalchi, Siavoush.

In: Journal of Molecular Modeling, Vol. 23, No. 9, 267, 01.09.2017.

Research output: Contribution to journalArticle

Zarei, Omid ; Benvenuti, Silvia ; Ustun-Alkan, Fulya ; Hamzeh-Mivehroud, Maryam ; Dastmalchi, Siavoush. / Identification of a RON tyrosine kinase receptor binding peptide using phage display technique and computational modeling of its binding mode. In: Journal of Molecular Modeling. 2017 ; Vol. 23, No. 9.
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