Figures
Phylogenetic dependency network for HIV adaptation.
A summary of the two types of HIV adaptations predicted by a new statistical model of HIV evolution is shown. The two types of adaptation are to (i) immune system molecules (e.g., B57) shown on the outside and (ii) other positions in HIV. The dense network implies that the same adaptations consistently arise in certain environments and may point to weak spots in the viral genome that will be important for vaccine and drug design (see Carlson et al., doi:10.1371/journal.pcbi.1000225).
Image Credit: Jonathan Carlson and David Heckerman (Microsoft Research).
Citation: (2008) PLoS Computational Biology Issue Image | Vol. 4(11) November 2008. PLoS Comput Biol 4(11): ev04.i11. https://doi.org/10.1371/image.pcbi.v04.i11
Published: November 28, 2008
Copyright: © 2008 Carlson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
A summary of the two types of HIV adaptations predicted by a new statistical model of HIV evolution is shown. The two types of adaptation are to (i) immune system molecules (e.g., B57) shown on the outside and (ii) other positions in HIV. The dense network implies that the same adaptations consistently arise in certain environments and may point to weak spots in the viral genome that will be important for vaccine and drug design (see Carlson et al., doi:10.1371/journal.pcbi.1000225).
Image Credit: Jonathan Carlson and David Heckerman (Microsoft Research).