Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zachary R. Sailer"'
Autor:
Zachary R Sailer, Sarah H Shafik, Robert L Summers, Alex Joule, Alice Patterson-Robert, Rowena E Martin, Michael J Harms
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 9, p e1008243 (2020)
Understanding evolution requires detailed knowledge of genotype-phenotype maps; however, it can be a herculean task to measure every phenotype in a combinatorial map. We have developed a computational strategy to predict the missing phenotypes from a
Externí odkaz:
https://doaj.org/article/020e794cc46b429399bb79a85a12ccc8
Autor:
Jordan D. Valgardson, Sarah A. Struyvenberg, Zachary R. Sailer, Isabel M. Piper, Justin E. Svendsen, D. Alex Johnson, Brandon A. Vogel, John M. Antos, Michael J. Harms, Jeanine F. Amacher
Publikováno v:
Bacteria; Volume 1; Issue 2; Pages: 121-135
Gram-positive bacteria are some of the earliest known life forms, diverging from gram-negative bacteria 2 billion years ago. These organisms utilize sortase enzymes to attach proteins to their peptidoglycan cell wall, a structural feature that distin
Publikováno v:
Protein Science. 32
Ancestral sequence reconstruction (ASR) is a powerful tool to study the evolution of proteins and thus gain deep insight into the relationships between protein sequence, structure, and function. A major barrier to its broad use is the complexity of t
Autor:
Zachary R Sailer, Michael J Harms
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 5, p e1005541 (2017)
High-order epistasis-where the effect of a mutation is determined by interactions with two or more other mutations-makes small, but detectable, contributions to genotype-fitness maps. While epistasis between pairs of mutations is known to be an impor
Externí odkaz:
https://doaj.org/article/1b5271c059a74eb5a68ca0c53f6f9cb5
Autor:
Alex Joule, Alice Patterson-Robert, Zachary R. Sailer, Michael J. Harms, Rowena E. Martin, Sarah H. Shafik, Robert L. Summers
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 9, p e1008243 (2020)
PLoS Computational Biology
PLoS Computational Biology
Understanding evolution requires detailed knowledge of genotype-phenotype maps; however, it can be a herculean task to measure every phenotype in a combinatorial map. We have developed a computational strategy to predict the missing phenotypes from a
Autor:
Michael J. Harms, Zachary R. Sailer, Christine L. Gee, Susan Marqusee, Brian A. Kelch, Charlotte F. Nixon, Ivan N Zheludev, Shion A. Lim
In addition to encoding the final tertiary fold and stability, the primary sequence of a protein encodes the folding trajectory and kinetic barriers that determines the speed of folding. How these kinetic barriers are encoded by the sequence is not w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d29c0d71c2f78832b9de3f28d18e275
https://doi.org/10.1101/2020.08.30.274340
https://doi.org/10.1101/2020.08.30.274340
Autor:
Michael J. Harms, Zachary R. Sailer
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance A long-standing goal in evolutionary biology is predicting evolution. Here, we show that the architecture of macromolecules fundamentally limits evolutionary predictability. Under physiological conditions, macromolecules, like proteins,
Autor:
Zachary R. Sailer, Michael J. Harms
Publikováno v:
Genetics
High-order epistasis has been observed in many genotype-phenotype maps. These multi-way interactions between mutations may be useful for dissecting complex traits and could have profound implications for evolution. Alternatively, they could be a stat
Autor:
Michael J. Harms, Zachary R. Sailer
Epistasis is a common feature of genotype-phenotype maps. Understanding the patterns of epistasis is critical for predicting unmeasured phenotypes, explaining evolutionary trajectories, and for inferring the biological mechanisms that determine a map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::297b447beccc4ae310233e1a34a2d9bf
Autor:
Michael J. Harms, Zachary R. Sailer
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 5, p e1005541 (2017)
PLoS Computational Biology
PLoS Computational Biology
High-order epistasis—where the effect of a mutation is determined by interactions with two or more other mutations—makes small, but detectable, contributions to genotype-fitness maps. While epistasis between pairs of mutations is known to be an i