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 |
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Resource language: | English |
Title: | Identification, production and structural modelling of cationic antimicrobial peptides (CAMPs) |
Creators: | Creators Email Durante, Lorenzo l.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: | nome email Cocozza, Sergio cocozza@unina.it |
Tutor: | nome email Notomista, Eugenio UNSPECIFIED |
Date: | 31 March 2014 |
Number of Pages: | 102 |
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 |
Collection description
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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