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Austin G. Meyer, Ph.D.

Affiliations: 
Chemistry and Biochemistry University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Viral Evolution, Structural Bioinformatics
Website:
http://www.meyerlab.org
Google:
"Austin Meyer"
Bio:

http://scholar.google.com/citations?user=Vssu9d0AAAAJ&hl=en

Mean distance: 9.6
 
SNBCP

Parents

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R Bryan Sutton grad student 2008-2010 Texas Tech University Health Sciences Center
 (M.S.)
Claus Wilke grad student 2010-2014 UT Austin (Evolution Tree)
 (Ph.D.)
BETA: Related publications

Publications

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McWhite CD, Meyer AG, Wilke CO. (2016) Sequence amplification via cell passaging creates spurious signals of positive adaptation in influenza virus H3N2 hemagglutinin. Virus Evolution. 2
Jack BR, Meyer AG, Echave J, et al. (2016) Functional Sites Induce Long-Range Evolutionary Constraints in Enzymes. Plos Biology. 14: e1002452
Lim Z, Duggan PJ, Wan SS, et al. (2016) Exploiting the Biginelli reaction: Nitrogen-rich pyrimidine-based tercyclic α-helix mimetics Tetrahedron. 72: 1151-1160
Meyer AG, Spielman SJ, Bedford T, et al. (2015) Time dependence of evolutionary metrics during the 2009 pandemic influenza virus outbreak. Virus Evolution. 1
Meyer AG, Wilke CO. (2015) The utility of protein structure as a predictor of site-wise dN/dS varies widely among HIV-1 proteins. Journal of the Royal Society, Interface / the Royal Society. 12
Kerr SA, Jackson EL, Lungu OI, et al. (2015) Computational and Functional Analysis of the Virus-Receptor Interface Reveals Host Range Trade-Offs in New World Arenaviruses. Journal of Virology. 89: 11643-53
Meyer AG, Wilke CO. (2015) Geometric Constraints Dominate the Antigenic Evolution of Influenza H3N2 Hemagglutinin. Plos Pathogens. 11: e1004940
Kachroo AH, Laurent JM, Yellman CM, et al. (2015) Evolution. Systematic humanization of yeast genes reveals conserved functions and genetic modularity. Science (New York, N.Y.). 348: 921-5
Meyer AG. (2015) The impacts of elicitation mechanism and reward size on estimatedrates of time preference Journal of Behavioral and Experimental Economics. 58: 132-148
Sridhara V, Meyer AG, Rai P, et al. (2014) Predicting growth conditions from internal metabolic fluxes in an in-silico model of E. coli. Plos One. 9: e114608
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