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      In Silico Selection and Evaluation of Pugnins with Antibacterial and Anticancer Activity Using Skin Transcriptome of Treefrog ( Boana pugnax)

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          Abstract

          In order to combat bacterial and cancer resistance, we identified peptides (pugnins) with dual antibacterial l–anticancer activity from the Boana pugnax ( B. pugnax) skin transcriptome through in silico analysis. Pugnins A and B were selected owing to their high similarity to the DS4.3 peptide, which served as a template for their alignment to the B. pugnax transcriptome, as well as their function as part of a voltage-dependent potassium channel protein. The secondary peptide structure stability in aqueous medium was evaluated as well, and after interaction with the Escherichia coli ( E. coli) membrane model using molecular dynamics. These pugnins were synthesized via solid-phase synthesis strategy and verified by Reverse phase high-performance liquid chromatography (RP-HPLC) and mass spectrometry. Subsequently, their alpha-helix structure was determined by circular dichroism, after which antibacterial tests were then performed to evaluate their antimicrobial activity. Cytotoxicity tests against cancer cells also showed selectivity of pugnin A toward breast cancer (MFC7) cells, and pugnin B toward prostate cancer (PC3) cells. Alternatively, flow cytometry revealed necrotic cell damage with a major cytotoxic effect on human keratinocytes (HaCaT) control cells. Therefore, the pugnins found in the transcriptome of B. pugnax present dual antibacterial–anticancer activity with reduced selectivity to normal eukaryotic cells.

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          Most cited references132

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            VMD: Visual molecular dynamics

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              The neighbor-joining method: a new method for reconstructing phylogenetic trees.

              N Saitou, M Nei (1987)
              A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs of operational taxonomic units (OTUs [= neighbors]) that minimize the total branch length at each stage of clustering of OTUs starting with a starlike tree. The branch lengths as well as the topology of a parsimonious tree can quickly be obtained by using this method. Using computer simulation, we studied the efficiency of this method in obtaining the correct unrooted tree in comparison with that of five other tree-making methods: the unweighted pair group method of analysis, Farris's method, Sattath and Tversky's method, Li's method, and Tateno et al.'s modified Farris method. The new, neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Pharmaceutics
                Pharmaceutics
                pharmaceutics
                Pharmaceutics
                MDPI
                1999-4923
                18 April 2021
                April 2021
                : 13
                : 4
                : 578
                Affiliations
                [1 ]Grupo de Investigación en Química y Biotecnología (QUIBIO), Facultad de Ciencias Básicas, Universidad Santiago de Cali, Calle 5 N° 62-00, Cali 760035, Colombia; jose.onate00@ 123456usc.edu.co
                [2 ]Grupo Genética, Regeneración y Cáncer, Facultad de Ciencias Exactas y Naturales, Instituto de Biología, Universidad de Antioquia, Medellín 050010, Colombia; lauramamedina@ 123456gmail.com
                [3 ]Núcleo de Biotecnología Curauma, Pontificia Universidad Católica de Valparaíso, 2374631 Av. Universidad, Curauma 330, Chile; fanny.guzman@ 123456pucv.cl
                [4 ]Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and IFIBA, CONICET-UBA, Ciudad Universitaria, Pabellón 1, Buenos Aires 1428, Argentina; mpickholz@ 123456df.ub.ar
                Author notes
                [* ]Correspondence: yamil.liscano00@ 123456usc.edu.co (Y.L.); jean.delgado@ 123456udea.edu.co (J.P.D.); Tel.: +57-2518-3000 (Y.L.); +57-300-5942568 (J.P.D.)
                Author information
                https://orcid.org/0000-0002-2674-8725
                https://orcid.org/0000-0002-9069-8902
                https://orcid.org/0000-0002-7829-0568
                https://orcid.org/0000-0001-7134-6234
                Article
                pharmaceutics-13-00578
                10.3390/pharmaceutics13040578
                8074116
                3e63f1ae-a2d9-4d68-b46c-8b56c9503c2d
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 04 March 2021
                : 10 April 2021
                Categories
                Article

                peptide,antimicrobial,anticancer,boana pugnax,pugnin
                peptide, antimicrobial, anticancer, boana pugnax, pugnin

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