Durante, Lorenzo
(2014)
Identification, production and structural modelling of cationic antimicrobial peptides (CAMPs).
[Tesi di dottorato]
| Item Type: |
Tesi di dottorato
|
| Lingua: |
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 |
| Uncontrolled Keywords: |
antimicrobial peptides; Monte Carlo; recombinant peptide |
| Settori scientifico-disciplinari del MIUR: |
Area 05 - Scienze biologiche > BIO/10 - Biochimica |
[error in script]
[error in script]
| 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.
Downloads per month over past year
Actions (login required)
 |
View Item |
