Durante, Lorenzo (2014) Identification, production and structural modelling of cationic antimicrobial peptides (CAMPs). [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Identification, production and structural modelling of cationic antimicrobial peptides (CAMPs)
Creators:
CreatorsEmail
Durante, Lorenzol.durante@studenti.unina.it
Date: 31 March 2014
Number of Pages: 102
Institution: Università degli Studi di Napoli Federico II
Department: Medicina Molecolare e Biotecnologie Mediche
Scuola di dottorato: Biotecnologie
Dottorato: Biologia computazionale e bioinformatica
Ciclo di dottorato: 26
Coordinatore del Corso di dottorato:
nomeemail
Cocozza, Sergiococozza@unina.it
Tutor:
nomeemail
Notomista, EugenioUNSPECIFIED
Date: 31 March 2014
Number of Pages: 102
Uncontrolled Keywords: antimicrobial peptides; Monte Carlo; recombinant peptide
Settori scientifico-disciplinari del MIUR: Area 05 - Scienze biologiche > BIO/10 - Biochimica
Additional Information: Il lavoro è stato svolto presso il Dipartimento di Biologia
Date Deposited: 07 Apr 2014 13:29
Last Modified: 15 Jul 2015 01:02
URI: http://www.fedoa.unina.it/id/eprint/9962

Abstract

This work is part of the wide field of research on cationic antimicrobial peptides (CAMPs), molecules of great therapeutical potential for their antibacterial action, directed also against multi-drug resistant strains. By using a panel of bioinformatic, experimental and computational techniques, three novel tools were developed: (1) a scoring function, which allows the identification of putative CAMPs inside protein sequences and permits to perform strain-specific researches; (2) a fusion construct for the expression of recombinant CAMPs, which allows to prepare high purity peptides of variable length in high yields; (3) methods for the modelling of CAMPs by means of the Monte Carlo strategy and implicit solvation energy functions.

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