Computational studies of protein - protein Interactions in transmembrane proteins

Abstract

Biological membranes are crucial components of all cells. They are bilayer mixtures composed by various types of lipids and a large number of membrane proteins. The latter, based on their position with respect to the membrane plane, are classified into transmembrane, peripheral membrane and lipid-anchored proteins. Transmembrane proteins constitute approximately 25-30% of known proteomes and control a wide range of cell functions, ranging from signal transduction and substrate transport to maintaining cell integrity and the regulation of gene expression, cell growth and cell death. As a result, transmembrane proteins have been implicated in a wide range of diseases and constitute prime targets in drug design. An important part of transmembrane protein functionality is their capability to form protein-protein interactions. The formation of supramolecular protein-protein complexes in the membrane plane, either between two or more transmembrane proteins or between transmembrane and ...
show more

All items in National Archive of Phd theses are protected by copyright.

DOI
10.12681/eadd/45771
Handle URL
http://hdl.handle.net/10442/hedi/45771
ND
45771
Alternative title
Υπολογιστικές μελέτες αλληλεπιδράσεων πρωτεϊνών - πρωτεϊνών σε διαμεμβρανικές πρωτεΐνες
Author
Baltoumas, Fotios of Anastasios
Date
2019
Degree Grantor
National and Kapodistrian University of Athens
Committee members
Χαμόδρακας Σταύρος
Οικονομίδου Βασιλική
Μπάγκος Παντελής
Βοργιάς Κωνσταντίνος
Στραβοπόδης Δημήτριος
Ηλιόπουλος Ηλίας
Παυλόπουλος Γεώργιος
Discipline
Natural SciencesBiological Sciences
Keywords
Bioinformatics; Transmembrane proteins; Structural bioinformatics; Protein interactions; Molecular dynamics simulations; Molecular mechanics
Country
Greece
Language
Greek
Description
im., tbls., fig., ch.
Rights and terms of use
Το έργο παρέχεται υπό τους όρους της δημόσιας άδειας του νομικού προσώπου Creative Commons Corporation:
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
USERS
Concern the unique Ph.D. Thesis' views.
Source: National Archive of Ph.D. Theses.