Daniel M. Weinreich, Ph.D.

Ecology and Evolutionary Biology Brown University, Providence, RI 
Microbial experimental evolution, protein evolution, theoretical population genetics
"Daniel Weinreich"
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Noah H. Rose research assistant 2010-2012 Brown
Jennifer Knies post-doc 2007- Brown
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Yang J, Naik N, Patel JS, et al. (2020) Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness. Plos One. 15: e0233509
Raynes Y, Wylie CS, Sniegowski PD, et al. (2018) Sign of selection on mutation rate modifiers depends on population size. Proceedings of the National Academy of Sciences of the United States of America
Knies J, Cai F, Weinreich DM. (2017) Enzyme efficiency but not thermostability drives cefotaxime resistance evolution in TEM-1 β-lactamase. Molecular Biology and Evolution
Baker CW, Miller CR, Thaweethai T, et al. (2016) Genetically Determined Variation in Lysis Time Variance in the Bacteriophage ϕX174. G3 (Bethesda, Md.)
Ferretti L, Schmiegelt B, Weinreich D, et al. (2016) Measuring epistasis in fitness landscapes: the correlation of fitness effects of mutations. Journal of Theoretical Biology
Ogbunugafor CB, Wylie CS, Diakite I, et al. (2016) Adaptive Landscape by Environment Interactions Dictate Evolutionary Dynamics in Models of Drug Resistance. Plos Computational Biology. 12: e1004710
Meini MR, Tomatis PE, Weinreich DM, et al. (2015) Quantitative Description of a Protein Fitness Landscape Based on Molecular Features. Molecular Biology and Evolution. 32: 1774-87
Watson RA, Wagner GP, Pavlicev M, et al. (2014) The evolution of phenotypic correlations and "developmental memory". Evolution; International Journal of Organic Evolution. 68: 1124-38
Weinreich DM, Lan Y, Wylie CS, et al. (2013) Should evolutionary geneticists worry about higher-order epistasis? Current Opinion in Genetics & Development. 23: 700-7
Weinreich DM, Knies JL. (2013) Fisher's geometric model of adaptation meets the functional synthesis: data on pairwise epistasis for fitness yields insights into the shape and size of phenotype space. Evolution; International Journal of Organic Evolution. 67: 2957-72
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