Prediction of anticancer peptides against MCF-7 breast cancer cells from the peptidomes of Achatina fulica mucus fractions

被引：74

作者：

E-kobon, Teerasak ^{[1
]}

Thongararm, Pennapa ^{[2
]}

Roytrakul, Sittiruk ^{[3
]}

Meesuk, Ladda ^{[4
]}

Chumnanpuen, Pramote ^{[2
]}

机构：

[1] Kasetsart Univ, Dept Genet, Fac Sci, Bangkok 10900, Thailand

[2] Kasetsart Univ, Dept Zool, Fac Sci, 50 Ngam Wong Wan Rd, Bangkok 10900, Thailand

[3] Natl Ctr Genet Engn & Biotechnol, Thailand Sci Pk, Pathum Thani 12120, Thailand

[4] Thammasat Univ, Fac Dent, Pathum Thani 12120, Thailand

来源：

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL | 2016年 / 14卷

关键词：

Peptidomics; Cytotoxic peptides; Achatina fulica; Breast cancer; Bioinformatics prediction; Snail mucus; ANTIMICROBIAL PEPTIDE; ANTITUMOR; SERVER;

D O I：

10.1016/j.csbj.2015.11.005

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Several reports have shown antimicrobial and anticancer activities of mucous glycoproteins extracted from the giant African snail Achatina fulica. Anticancer properties of the snail mucous peptides remain incompletely revealed. The aim of this study was to predict anticancer peptides from A. fulica mucus. Two of HPLC-separated mucous fractions (F2 and F5) showed in vitro cytotoxicity against the breast cancer cell line (MCF-7) and normal epithelium cell line (Vero). According to the mass spectrometric analysis, 404 and 424 peptides from the F2 and F5 fractions were identified. Our comprehensive bioinformatics workflow predicted 16 putative cationic and amphipathic anticancer peptides with diverse structures from these two peptidome data. These peptides would be promising molecules for new anti-breast cancer drug development. (C) 2015 The Authors. Published by Elsevier B.V. on behalf of the Research Network of Computational and Structural Biotechnology.

引用

页码：49 / 57

页数：9

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