Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Abe Pressman"'
Autor:
Drew S Tack, Peter D Tonner, Abe Pressman, Nathan D Olson, Sasha F Levy, Eugenia F Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0283548 (2023)
As synthetic biology expands and accelerates into real-world applications, methods for quantitatively and precisely engineering biological function become increasingly relevant. This is particularly true for applications that require programmed sensi
Externí odkaz:
https://doaj.org/article/021b2a7e505f418e9827dacfaf53e0d0
Autor:
Drew S Tack, Peter D Tonner, Abe Pressman, Nathan D Olson, Sasha F Levy, Eugenia F Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 3, Pp 1-26 (2021)
Abstract Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype‐phenotype relationships remains elusive. Here, we report the large‐scale
Externí odkaz:
https://doaj.org/article/d9a3618aa3a44816b3647fe677f82e63
Autor:
Drew S Tack, Peter D Tonner, Abe Pressman, Nathan D Olson, Sasha F Levy, Eugenia F Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 12, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/d5fb0b7e4c8c419f9342c6766b2f15df
Autor:
Sean P. Gilmore, John K. Henske, Jessica A. Sexton, Kevin V. Solomon, Susanna Seppälä, Justin I Yoo, Lauren M. Huyett, Abe Pressman, James Z. Cogan, Veronika Kivenson, Xuefeng Peng, YerPeng Tan, David L. Valentine, Michelle A. O’Malley
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-14 (2017)
Abstract Background The metabolism of archaeal methanogens drives methane release into the environment and is critical to understanding global carbon cycling. Methanogenesis operates at a very low reducing potential compared to other forms of respira
Externí odkaz:
https://doaj.org/article/83c46adfac92408e916a77e9eb8b00c3
Autor:
Drew S. Tack, Peter D. Tonner, Abe Pressman, Nathanael D. Olson, Sasha F Levy, Eugenia F. Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99da06b664ff2f76fdbe5d7669feec12
https://doi.org/10.15252/rc.2022372200
https://doi.org/10.15252/rc.2022372200
Autor:
Drew S. Tack, Peter D. Tonner, Abe Pressman, Nathanael D. Olson, Sasha F. Levy, Eugenia F. Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
As synthetic biology expands and accelerates into real-world applications, methods for quantitatively and precisely engineering biological function become increasingly relevant. This is particularly true for applications that require programmed sensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::407c98e6f4f2bfbc100df8b0edb61f7a
https://doi.org/10.1101/2022.08.04.502789
https://doi.org/10.1101/2022.08.04.502789
Publikováno v:
Proceedings of the National Academy of Sciences. 119
Large-scale measurements linking genetic background to biological function have driven a need for models that can incorporate these data for reliable predictions and insight into the underlying biophysical system. Recent modeling efforts, however, pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e812405e48f605817b7a76c5f520d644
https://doi.org/10.1073/pnas.2114021119
https://doi.org/10.1073/pnas.2114021119
Autor:
Eugenia F. Romantseva, Drew S. Tack, Elizabeth A. Strychalski, Peter D. Tonner, Abe Pressman, Jayan Rammohan
Publikováno v:
Curr Opin Syst Biol
Precise engineering of biological systems requires quantitative, high-throughput measurements, exemplified by progress in directed evolution. New approaches allow high-throughput measurements of phenotypes and their corresponding genotypes. When inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::609a9b83bf33ccd16c89146a0849c2d8
https://doi.org/10.1016/j.coisb.2020.09.004
https://doi.org/10.1016/j.coisb.2020.09.004
Large-scale measurements linking genetic background to biological function have driven a need for models that can incorporate these data for reliable predictions and insight into the underlying biochemical system. Recent modeling efforts, however, pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3536e13c5c715a96cd7bced6294ce2cb
https://doi.org/10.1101/2021.06.11.448129
https://doi.org/10.1101/2021.06.11.448129
Autor:
David Ross, Olga Vasilyeva, Nina Alperovich, Eugenia F. Romantseva, Sasha F. Levy, Nathanael D. Olson, Abe Pressman, Peter D. Tonner, Drew S. Tack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8104ad5a88288553733328d51502b19b
https://doi.org/10.15252/rc.2022079697
https://doi.org/10.15252/rc.2022079697