PLoS Computational Biology (Apr 2017)

Peptide probes derived from pertuzumab by molecular dynamics modeling for HER2 positive tumor imaging.

  • Xiaoliang Yang,
  • Zihua Wang,
  • Zhichu Xiang,
  • Dan Li,
  • Zhiyuan Hu,
  • Wei Cui,
  • Lingling Geng,
  • Qiaojun Fang

DOI
https://doi.org/10.1371/journal.pcbi.1005441
Journal volume & issue
Vol. 13, no. 4
p. e1005441

Abstract

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A high level of HER2 expression in breast cancer correlates with a higher tumor growth rate, high metastatic potential, and a poor long-term patient survival rate. Pertuzumab, a human monoclonal antibody, can reduce the effect of HER2 overexpression by preventing HER2 dimerization. In this study, a combination protocol of molecular dynamics modeling and MM/GBSA binding free energy calculations was applied to design peptides that interact with HER2 based on the HER2/pertuzumab crystal structure. Based on a β hairpin in pertuzumab from Glu46 to Lys65-which plays a key role in interacting with HER2-mutations were carried out in silico to improve the binding free energy of the hairpin that interacts with the Phe256-Lys314 of the HER2 protein. Combined the use of one-bead-one-compound library screening, among all the mutations, a peptide (58F63Y) with the lowest binding free energy was confirmed experimentally to have the highest affinity, and it may be used as a new probe in diagnosing and treating HER2-positive breast cancer.