Prediction of anticancer peptides against MCF-7 breast cancer cells from the peptidomes of Achatina fulica mucus fractions
| Autor: | Pramote Chumnanpuen, Pennapa Thongararm, Sittiruk Roytrakul, Ladda Meesuk, Teerasak E-kobon |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
0301 basic medicine
lcsh:Biotechnology Biophysics Snail Biochemistry 03 medical and health sciences Breast cancer Bioinformatics prediction Structural Biology lcsh:TP248.13-248.65 biology.animal Genetics medicine Peptidomics Snail mucus chemistry.chemical_classification biology Antimicrobial biology.organism_classification Mucus Epithelium Computer Science Applications 030104 developmental biology medicine.anatomical_structure Achatina MCF-7 chemistry Cell culture Cytotoxic peptides Immunology Achatina fulica Glycoprotein Biotechnology Research Article |
| Zdroj: | Computational and Structural Biotechnology Journal Computational and Structural Biotechnology Journal, Vol 14, Iss C, Pp 49-57 (2016) |
| ISSN: | 2001-0370 |
| DOI: | 10.1016/j.csbj.2015.11.005 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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