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Global Network Of Human-Pathogen Protein Interactions Created And Explored
The first global analysis of the interactions between human proteins
and the proteins of viruses of other pathogens has recently been
developed, as reported on February 15 in the open-access journal PLoS
Pathogens, a part of the Public Library of
Science. The network of interactions that it
describes allows researchers to hone in on possible important points
for intervention in the development of theraputics against infectious
diseases.
This is relatively new territory for infectious disease biologists,
according to the article. "Infectious diseases result in millions of
deaths each year," said co-author Matt Dyer. "Although much
effort has been directed towards the study of how infection by a
pathogen causes disease in humans, only recently have large data sets
for protein interactions become publicly available."
In the study, the researchers developed a computational approach to
analyze the data, which was drawn from 190 different pathogens, making
up 10,477 interactions between human and pathogenic proteins.
Particular attention was paid to two major networks of human proteins:
those that interact with at least two viral pathogens, and those which
interact with at least two bacterial pathogens.
Gene Ontology terms, which evaluate relationships between the proteins, were
computed for both sets of proteins and provided key information about
their functions. It was found that the pathogenic proteins
preferentially interact with two classes of human proteins referred to
hubs and bottlenecks. Hubs have a central location in the network,
interacting with many other proteins in the broader human protein
spectrum. Bottlenecks, in contrast, lie on many of the shortest paths
in the network.
It seems that pathogens maximize potential by focusing on these
important proteins during infection. By having a deeper understanding
of this process, researchers can focus on strategies to prevent or cure
infections. Since it is often the case that human proteins are the
mediators for pathogenic effects, and these proteins are also known to
be involved in cancer pathways, this suggests many interesting
parallels between infection and cancer, implying multiple directions
for further research.
About PLoS Computational Biology
PLoS Computational Biology (www.ploscompbiol.org)
features works of
exceptional significance that further our understanding of living
systems at all scales through the application of computational methods.
All works published in PLoS Computational Biology are open access.
Everything is immediately available subject only to the condition that
the original authorship and source are properly attributed. Copyright
is retained by the authors. The Public Library of Science uses the
Creative Commons Attribution License.
About the Public Library of Science
The Public Library of Science (PLoS) is a
non-profit organization of
scientists and physicians committed to making the world's scientific
and medical literature a freely available public resource. For more
information, visit http://www.plos.org.
The landscape of human proteins interacting with viruses and other
pathogens.
Dyer MD, Murali TM, Sobral BW
PLoS Pathog 4(2): e32.
doi:10.1371/journal.ppat.0040032
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Written by Anna Sophia McKenney
Copyright: Start Sanatate
Not to be reproduced without permission of Start Sanatate
Global Network a agentului patogen uman-interacþiuni creat de proteine ºi explorate - Global Network Of Human-Pathogen Protein Interactions Created And Explored - articole medicale engleza - startsanatate