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dc.contributor.authorOkella, H.en_US
dc.contributor.authorGeorrge, J.J.en_US
dc.contributor.authorOchwo, S.en_US
dc.contributor.authorNdekezi, C.en_US
dc.contributor.authorKoffi, K.T.en_US
dc.contributor.authorAber, J.en_US
dc.contributor.authorAjayi, C.O.en_US
dc.contributor.authorFofana, F.G.en_US
dc.contributor.authorIkiriza, H.en_US
dc.contributor.authorMtewa, A.G.en_US
dc.contributor.authorNkamwesiga, Josephen_US
dc.contributor.authorBassogog, C.B.B.en_US
dc.contributor.authorKato, C.D.en_US
dc.contributor.authorOgwang P.E.en_US
dc.date.accessioned2020-12-23T12:09:59Zen_US
dc.date.available2020-12-23T12:09:59Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/110593en_US
dc.titleNew putative antimicrobial candidates: In silico design of fish-derived antibacterial peptide-motifsen_US
cg.authorship.typesCGIAR and developing country instituteen_US
dcterms.abstractAntimicrobial resistance remains a great threat to global health. In response to the World Health Organizations’ global call for action, nature has been explored for novel and safe antimicrobial candidates. To date, fish have gained recognition as potential source of safe, broad spectrum and effective antimicrobial therapeutics. The use of computational methods to design antimicrobial candidates of industrial application has however, been lagging behind. To fill the gap and contribute to the current fish-derived antimicrobial peptide repertoire, this study used Support Vector Machines algorithm to fish out fish-antimicrobial peptide-motif candidates encrypted in 127 peptides submitted at the Antimicrobial Peptide Database (APD3), steered by their physico-chemical characteristics (i.e., positive net charge, hydrophobicity, stability, molecular weight and sequence length). The best two novel antimicrobial peptide-motifs (A15_B, A15_E) with the lowest instability index (−28.25, −22.49, respectively) and highest isoelectric point (pI) index (10.48 for each) were selected for further analysis. Their 3D structures were predicted using I-TASSER and PEP-FOLD servers while ProSA, PROCHECK, and ANOLEA were used to validate them. The models predicted by I-TASSER were found to be better than those predicted by PEP-FOLD upon validation. Two I-TASSER models with the lowest c-score of −0.10 and −0.30 for A15_B and A15_E peptide-motifs, respectively, were selected for docking against known bacterial-antimicrobial target-proteins retrieved from protein databank (PDB). Carbapenam-3-carboxylate synthase (PDB ID; 4oj8) yielded the lowest docking energy (−8.80 and −7.80 Kcal/mol) against motif A15_B and A15_E, respectively, using AutoDock VINA. Further, in addition to Carbapenam-3-carboxylate synthase, these peptides (A15_B and A15_E) were found to as well bind to membrane protein (PDB ID: 1by3) and Carbapenem synthetase (PDB: 1q15) when ClusPro and HPEPDOCK tools were used. The membrane protein yielded docking energy scores (DES): −290.094, −270.751; coefficient weight (CW): −763.6, 763.3 for A15_B and A15_E) whereas, Carbapenem synthetase (PDB: 1q15) had a DES of −236.802, −262.75 and a CW of −819.7, −829.7 for peptides A15_B and A15_E, respectively. Motif A15_B of amino acid positions 2–19 in Pleurocidin exhibited the strongest in silico antimicrobial potentials. This segment could be a good biological candidate of great application in pharmaceutical industries as an antimicrobial drug candidate.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationOkella, H., Georrge, J.J., Ochwo, S., Ndekezi, C., Koffi, K.T., Aber, J., Ajayi, C.O., Fofana, F.G., Ikiriza, H., Mtewa, A.G., Nkamwesiga, J., Bassogog, C.B.B., Kato, C.D. and Ogwang P.E. 2020. New putative antimicrobial candidates: In silico design of fish-derived antibacterial peptide-motifs. Frontiers in Bioengineering and Biotechnology 8: 604041.en_US
dcterms.issued2020-12-03en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherFrontiers Media SAen_US
dcterms.subjectantimicrobialsen_US
dcterms.subjectfishen_US
dcterms.subjectpeptidesen_US
dcterms.typeJournal Articleen_US
cg.subject.ilriAMRen_US
cg.subject.ilriFISHen_US
cg.contributor.affiliationMbarara University of Science and Technologyen_US
cg.contributor.affiliationChrist College, Rajkot, Indiaen_US
cg.contributor.affiliationMakerere Universityen_US
cg.contributor.affiliationV.V.P. College of Engineering, Rajkot, Indiaen_US
cg.contributor.affiliationUniversity of Science, Technique and Technology, Malien_US
cg.contributor.affiliationMalawi University of Science and Technologyen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationInstitute of Medical Research and Medicinal Plants Studies, Cameroonen_US
cg.identifier.doihttps://doi.org/10.3389/fbioe.2020.604041en_US
cg.isijournalISI Journalen_US
cg.contributor.crpAgriculture for Nutrition and Healthen_US
cg.creator.identifierJoseph Nkamwesiga: 0000-0001-6524-1241en_US
cg.contributor.donorPharm-Biotechnology and Traditional Medicine Centeren_US
cg.reviewStatusPeer Reviewen_US
cg.howPublishedFormally Publisheden_US
cg.journalFrontiers in Bioengineering and Biotechnologyen_US
cg.issn2296-4185en_US


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