Why bacteria derived R-M nucleic enzymatic peptides are likely efficient therapeutic molecules for use in the design and development of novel HIV inhibitory strategies

dc.creatorWayengera, Misaki
dc.date2013-02-18T05:57:41Z
dc.date2013-02-18T05:57:41Z
dc.date2008-06-17
dc.date.accessioned2018-09-04T12:32:46Z
dc.date.available2018-09-04T12:32:46Z
dc.descriptionIn the past, we have identified, described and isolated over 200 bacteria derived Restriction Modification (R-M) nucleic enzymatic peptides as efficient therapeutic molecules for use in the development of novel HIV inhibitory strategies. In the issuing months of our publications, 3 questions have been directed to our work; (1) HIV is an RNA virus, thus restriction peptides are impotent as defense peptides. (2) HIV genome is encapsulated in nuclear capsid and viral envelope, making access impossible. (3) Human genome contains several palindromes recognizable by R-M peptides, making safety delineation critical. This paper serves to provide succinct responses to these issues, and highlight critical strategies being employed in ensuring the development of safe Microbides and therapeutic vaccines based on this approach.
dc.identifierWayengera, M. (2008). Why bacteria derived R-M nucleic enzymatic peptides are likely efficient therapeutic molecules for use in the design and development of novel HIV inhibitory strategies. African Journal of Biotechnology, 7 (12): 1791-1796
dc.identifier1684–5315
dc.identifier
dc.identifierhttp://hdl.handle.net/10570/1084
dc.identifier.urihttp://hdl.handle.net/10570/1084
dc.languageen
dc.publisherAcademic Journals
dc.subjectRestriction modification (R-M) systems
dc.subjectRestriction modification (R-M) systems
dc.subjectMethyltranferases (MTases)
dc.subjectHuman immunodeficiency virus (HIV)
dc.subjectImmune reconstitution
dc.subjectProbiotic microbicides
dc.titleWhy bacteria derived R-M nucleic enzymatic peptides are likely efficient therapeutic molecules for use in the design and development of novel HIV inhibitory strategies
dc.typeLearning Object
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