Encrypted Antimicrobial Peptides from Plant Proteins
Autor: | Fernando Yano Abrão, J. L. Cardozo Filho, Maura V. Prates, Guilherme D. Brand, R. Galbieri, Carlos Bloch, Marcelo Henrique Soller Ramada, M. Oliveira, Karina Peres Gramacho |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Multidisciplinary lcsh:R Antimicrobial peptides lcsh:Medicine Biological activity Microbial Sensitivity Tests Computational biology Biology Antimicrobial Bioinformatics Article Anti-Bacterial Agents 03 medical and health sciences 030104 developmental biology Anti-Infective Agents Computer software lcsh:Q lcsh:Science Antimicrobial Cationic Peptides Plant Proteins |
Zdroj: | Scientific Reports, Vol 7, Iss 1, Pp 1-14 (2017) Scientific Reports |
ISSN: | 2045-2322 |
Popis: | Examples of bioactive peptides derived from internal sequences of proteins are known for decades. The great majority of these findings appear to be fortuitous rather than the result of a deliberate and methodological-based enterprise. In the present work, we describe the identification and the biological activities of novel antimicrobial peptides unveiled as internal fragments of various plant proteins founded on our hypothesis-driven search strategy. All putative encrypted antimicrobial peptides were selected based upon their physicochemical properties that were iteratively selected by an in-house computer program named Kamal. The selected peptides were chemically synthesized and evaluated for their interaction with model membranes. Sixteen of these peptides showed antimicrobial activity against human and/or plant pathogens, some with a wide spectrum of activity presenting similar or superior inhibition efficacy when compared to classical antimicrobial peptides (AMPs). These original and previously unforeseen molecules constitute a broader and undisputable set of evidences produced by our group that illustrate how the intragenic concept is a workable reality and should be carefully explored not only for microbicidal agents but also for many other biological functions. |
Databáze: | OpenAIRE |
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