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A high quality combinatorial library specifically customized to a given binding-interface can be rapidly designed by high-throughput mutational scanning of single substitution libraries.
Here, we perform systematic statistical and mutational analyses of the overlapping HIV-1 genes tat and rev and engineer exhaustive libraries of non-overlapped viruses to perform deep mutational scanning of each gene independently.
Together with extensive mutational scanning of regions of the polymerase that are likely to be involved in recognition of the CJ, we are able to develop a description of the events that occur as the EC transcribes through the CJ and subsequently pauses.
This study represents the first mutational scanning of the entire mitochondrial genome of esophageal cancer.
The following dataset was generated: Bargavi Thyagarajan, Jesse Bloom, 2014, deep mutational scanning of WSN influenza hemagglutinin, http://www.ncbi.nlm.nih.gov/biosample/SAMN02719578, Publicly available at NCBI BioSample.
We used the results of our previous deep mutational scanning of NP to compare the inherent mutational tolerance of sites that participate in multiple CTL epitopes to all other sites in NP.
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The site entropies are computed from a previously described deep mutational scan of NP, and are the values in the first supplementary file of Bloom (2014) ; the RSA values are also taken from that reference.
To address this issue, we used the results of the deep mutational scanning to compare the inherent mutational tolerance of antigenic sites to the rest of the HA protein.
We used deep mutational scanning to examine the extent to which a high inherent mutational tolerance contributes to this antigenic evolvability.
This concordance suggests that the deep mutational scanning effectively captures many of the structural and functional constraints on HA. 10.7554/eLife.03300.011 Figure 5.
Here we have shown that an evolutionary model constructed from our deep mutational scanning data describes the evolution of human and swine H1 HAs far better than existing state-of-the-art models for sequence evolution.
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