Detection of protein-protein interactions in microbial sequences based on domain fusion analysis

Doctoral Dissertation uoadl:1308868 385 Read counter

Unit:
Τομέας Βοτανικής
Library of the School of Science
Deposit date:
2016-01-15
Year:
2016
Author:
Ντάνος Βασίλειος
Dissertation committee:
Α. Καραγκούνη Καθηγήτρια
Original Title:
Εντοπισμός πρωτεϊνικών αλληλεπιδράσεων σε μικροβιακές αλληλουχίες, μέσω της ανάλυσης συγχώνευσης πρωτεϊνικών δομικών ενοτήτων
Languages:
Greek
Translated title:
Detection of protein-protein interactions in microbial sequences based on domain fusion analysis
Summary:
This research attempted to achieve three objectives: firstly, the development
of an algorithmic methodology for the identification of protein-protein
interactions by use of proteomic sequences, secondly, the implementation of a
user-friendly application (program) to automate this process and finally, the
analysis of the proteomic sequences of 24 bacteria in order to detect and study
potential fusion events of protein domains.
The method that was constructed resulted in the identification of 175 initial
interacting protein pairs (potential fusion events) at 24 bacterial proteomes,
of which 104 (59 %) were confirmed as true positives, based on the STRING
database. The accuracy of the method was even greater, reaching the percentage
of successful predictions up to 70 % when promiscuous domains (such as AAA
domains) were filtered out of the predictions.
This study suggests an automated method for the identification of fusion events
in proteomic sequences, which can be applied to any proteome of Archaea or
Bacteria or Eukarya, although definite confirmation of protein-protein
interactions demands experimental procedures.
Keywords:
Computational, Biology, Domain, Fusion, Analysis
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
53
Number of pages:
186

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