Analysis and comparison of antimicrobial peptides as a candidate for treatment of multidrug resistant bacteria using bioinformatics methods (Master thesis)
The purpose of this review study is to examine what is known about AMPs with an emphasis on bioinformatics tools available for the research and identification of this new class of therapeutic targets against Multi-Drug Resistant (MDR) bacteria which over time have developed to be less sensitive to antibiotics. Recently, the field of healthcare suffers from the emergence of anti-microbial resistance, as its treatment has resulted to be an extremely complicated challenge. In this aspect, this study provides an overview on the discovery, activity, structure and mechanism of action and therapeutic strategies as novel antibiotic agents of selected AMPs from Antimicrobial Peptide Database (APD). One of the most promising new alternative strategies in the fight against MDRs suggests the recruitment of Anti-Microbial Peptides (AMPs) also called Host Defense Peptides (HDPs). As part of the innate immune system, AMPs comprise an evolutionarily conserved defense mechanism against pathogens ubiquitously produced throughout the kingdoms of life to combat microbial infections. Their efficacy is ensured because AMPs have both bactericidal properties that directly attack on pathogens both bacteria and those residing in biofilms as well as immune-modulating properties that enhance the host defense. The second aim of this research is to highlight several strategies for the isolation and optimization of AMPs with bioinformatics methods. Defining characteristic patterns, construction of family proteins and recruitment of new peptide members within a family is a first strategy. The second one elaborates on comparative genomics for identification of phylogenetically conserved through evolution sequences and sheds light into the evolutionary history of these small molecules. Lastly, a brand new and innovative approach focuses on in silico screening of AMPs from genomic databases. In this context, whole genomes from various organisms are scanned with reference sequences for the discovery of undefined AMPs. The next step to consider would be the design of new synthetic molecules which mimic the naturally occurring peptides of interest with enhanced features resulting from computational analysis. Investigating the importance of these small peptides to innate immunity and their potential as next generation antimicrobial factors to combat multi-drug resistant bacteria consists a quite promising area for future research. Their applicability in therapeutic purposes is further explored and broadened with the help of innovative computational methods and the development of in silico methodologies.
|Institution and School/Department of submitter:||Δημοκρίτειο Πανεπιστήμιο Θράκης. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής|
|Subject classification:||Peptide antibiotics|
|Keywords:||Antimicrobial peptides,Bacteria,Bioinformatics,Αντιμικροβιακά πεπτίδια,Βακτήρια,Βιοπληροφορική|
|Appears in Collections:||Δ.Π.Μ.Σ. ΒΙΟ-ΙΑΤΡΙΚΕΣ ΚΑΙ ΜΟΡΙΑΚΕΣ ΕΠΙΣΤΗΜΕΣ ΣΤΗ ΔΙΑΓΝΩΣΗ ΚΑΙ ΘΕΡΑΠΕΙΑ ΑΣΘΕΝΕΙΩΝ|
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|StratomperdaN_2022.pdf||Μεταπτυχιακή εργασία||1.44 MB||Adobe PDF||View/Open|
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