Computational Design, Combinatorial Screening and Experimental Analysis of Lung Cancer EGFRVIII-Binding Peptides

Author:

Gao Dongyun1,Yao Jun2,Zhou Xuefeng1,Zhang Xia1,Zhou Linlin1,Wang Qiangrong3,Li Shan1,Ding Xi4

Affiliation:

1. Department of Oncology, The Dongtai Hospital of Nantong University, Dongtai 224200, China

2. Department of Pulmonary and Critical Care Medicine, The Dongtai Hospital of Nantong University, Dongtai 224200, China

3. Department of Imaging, The Dongtai Hospital of Nantong University, Dongtai 224200, China

4. Department of Pharmacy, The Dongtai Hospital of Nantong University, Dongtai 224200, China

Abstract

Human epidermal growth factor receptor mutation variant III ([Formula: see text] is a cancer-specific cell surface oncogenic marker and has been observed to be widely involved in the formation, progression and metastasis of lung cancer and some other tumors. Previously, a massive quantity of [Formula: see text]-binding peptides were enriched via random phage display (RPD) targeted against the protein. In this study, we reported rational discovery of 12-mer peptides with high affinity to [Formula: see text] and strong selectivity for [Formula: see text] over wild-type EGFR ([Formula: see text]. A combinatorial peptide library was designed to target [Formula: see text] based on over ten thousands of known [Formula: see text] binders enriched from RPD analysis, and a virtual high-throughput screening protocol was then systematically performed against the library to derive those potential candidates, which were further examined rigorously at structural and energetic levels to identify few promising hits. Anisotropy binding assays were carried out to substantiate the computational findings. Consequently, eight 12-mer peptides were designed as effective binders that can target the [Formula: see text] extracellular subdomain 3 (SD3). In particular, two potent peptides (T1: FLHRYEIVTSYF and T3: FLQKYEWNTSYW) were found to have a high affinity to [Formula: see text] and a good selectivity for [Formula: see text] over [Formula: see text]. Structural analysis revealed that the peptide-binding site can be divided into hydrophobic, polar and mixed regions, which correspond to the nonpolar [Formula: see text]-terminal section, polar/charged middle section and hybrid C-terminal section of the peptide. The peptide selectivity originated from the middle section, which can form a different hydrogen bond network between the two proteins upon the mutating perturbation, whereas the N- and C-terminal sections are primarily responsible for the peptide stability but not specificity.

Funder

Nantong University Foundation

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Physical and Theoretical Chemistry,Computer Science Applications

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