Co-evolution networks of HIV/HCV are modular with direct association to structure and function.
Mutational correlation patterns found in population-level sequence data for the Human Immunodeficiency Virus (HIV) and the Hepatitis C Virus (HCV) have been demonstrated to be informative of viral fitness. Such patterns can be seen as footprints of the intrinsic functional constraints placed on vira...
Main Authors: | Ahmed Abdul Quadeer, David Morales-Jimenez, Matthew R McKay |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-09-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1006409 |
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