2019
DOI: 10.1038/s41598-019-47568-9
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In silico design and optimization of selective membranolytic anticancer peptides

Abstract: Membranolytic anticancer peptides represent a potential strategy in the fight against cancer. However, our understanding of the underlying structure-activity relationships and the mechanisms driving their cell selectivity is still limited. We developed a computational approach as a step towards the rational design of potent and selective anticancer peptides. This machine learning model distinguishes between peptides with and without anticancer activity. This classifier was experimentally validated by synthesiz… Show more

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Cited by 55 publications
(51 citation statements)
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“…Anticancer peptide creation should consider the peptide structure, mode of action, selectivity and efficacy to specific cancer cells ( 69 , 70 ). In the present review, active peptides were classified into three types depending on their actions, including: i) Molecularly targeted peptides, which directly act on cancer cells via cytotoxic, anti-proliferative and apoptotic activities; ii) 'guiding missile' peptides or binding peptides, which are drug binding peptides used for transporting drugs into the cancer cell targets; and iii) cell-stimulating peptides that indirectly effect other stimulating cells to kill cancer cells, such as via immunomodulatory activities and hormone receptors ( 71 - 73 ).…”
Section: Classification Of Acpsmentioning
confidence: 99%
“…Anticancer peptide creation should consider the peptide structure, mode of action, selectivity and efficacy to specific cancer cells ( 69 , 70 ). In the present review, active peptides were classified into three types depending on their actions, including: i) Molecularly targeted peptides, which directly act on cancer cells via cytotoxic, anti-proliferative and apoptotic activities; ii) 'guiding missile' peptides or binding peptides, which are drug binding peptides used for transporting drugs into the cancer cell targets; and iii) cell-stimulating peptides that indirectly effect other stimulating cells to kill cancer cells, such as via immunomodulatory activities and hormone receptors ( 71 - 73 ).…”
Section: Classification Of Acpsmentioning
confidence: 99%
“…On the other side, so-called cancer-targeting or anticancer peptides (ACPs) have been reported [96], which are, owing to their specific nature, attracted by the specific phenotypes of cancer cells and their surroundings. In fact, cancer cells differ from healthy cells since they display more negatively charged cell surface components, including also negatively charged headgroups of the lipid bilayer forming phospholipids.…”
Section: Cancer Targetingmentioning
confidence: 99%
“…Interestingly, many antimicrobial peptides exhibit anti-cancer activity, and indeed, such anti-cancer peptides (ACPs) may provide a promising, new approach in chemotherapy 24,25 . ACPs are usually cationic and therefore, attracted by the more negatively charged cell membrane of cancerous cells 26,27 .…”
Section: Introductionmentioning
confidence: 99%