Analysis and Application of Antimicrobial Peptide Interaction and Similar Structure Networks
| Autor: | Hao-Ting Lee, 李浩霆 |
|---|---|
| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 103 Antibiotic misuse has become a serious issue. It leads to more and more microbes to become antibiotic resistant. Antimicrobial peptides offer one effective and possible solution to this problem. Antimicrobial peptides, an important protein in the innate immune system, can fight against the invading pathogens in the host organisms. This project aims to get insights into antimicrobial peptides by examining their network structures. 3152 experimentally validated antimicrobial peptides are obtained from the ADAM database. The protein-protein interaction networks and similar structure networks of antimicrobial peptides are built upon this dataset. The interaction networks are derived from the BioGRID database; the similar structure networks are built with the help of LOMETS and TM-align. We focus on visualizing the interaction and similar structure networks and analyzing their network properties. According to our analyses, the interaction networks belong to power-law networks; the structure networks are small-world networks. According to the rule of “Guilt by association”, the chemokine signaling pathway is one of the most significant enriched biological pathways in the antimicrobial peptide networks. Some key potential intracellular binding factors such as COP9 are also identificed. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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