Peptide probes derived from pertuzumab by molecular dynamics modeling for HER2 positive tumor imaging
Author(s) -
Xiaoliang Yang,
Zihua Wang,
Zhichu Xiang,
Dan Li,
Zhiyuan Hu,
Wei Cui,
Lingling Geng,
Qiaojun Fang
Publication year - 2017
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1005441
Subject(s) - pertuzumab , molecular dynamics , in silico , chemistry , peptide , monoclonal antibody , computational biology , biophysics , biology , cancer , breast cancer , biochemistry , metastatic breast cancer , antibody , genetics , computational chemistry , gene
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.
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