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Prediction of anticancer peptides against MCF-7 breast cancer cells from the peptidomes of Achatina fulica mucus fractions
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Metadata
Document Title
Prediction of anticancer peptides against MCF-7 breast cancer cells from the peptidomes of Achatina fulica mucus fractions
Author
E-Kobon T, Thongararm P, Roytrakul S, Meesuk L, Chumnanpuen P
Name from Authors Collection
Affiliations
Kasetsart University; Kasetsart University; National Science & Technology Development Agency - Thailand; National Center Genetic Engineering & Biotechnology (BIOTEC); Thammasat University
Type
Article
Source Title
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
ISSN
2001-0370
Year
2016
Volume
14
Page
49-57
Open Access
Green Published, gold
Publisher
ELSEVIER SCIENCE BV
DOI
10.1016/j.csbj.2015.11.005
Format
Abstract
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.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Funding Sponsor
Kasetsart University Research and Development Institute (KURDI) [KURDI-2.56]; Faculty of Science, Kasetsart University [KURDI-02-2556]; Development and Promotion of Science and Technology Talent Project (DPST) [DPST-SC-KU-013-2556]; Do Day Dream Co., Ltd. [SNAILWHITE-01-2558]
License
CC-BY
Rights
Authors
Publication Source
WOS