Zobrazeno 1 - 10
of 205
pro vyhledávání: '"G, Eason"'
Autor:
Antony D. St-Jacques, Joshua M. Rodriguez, Matthew G. Eason, Scott M. Foster, Safwat T. Khan, Adam M. Damry, Natalie K. Goto, Michael C. Thompson, Roberto A. Chica
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Structural plasticity of enzymes dictates their function. Yet, our ability to rationally remodel enzyme conformational landscapes to tailor catalytic properties remains limited. Here, we report a computational procedure for tuning conformati
Externí odkaz:
https://doaj.org/article/c5dbd4d40ae840a6a59e282e97bd6c6b
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
Vector autoregression (VAR) modeling allows probing bidirectional relationships in gender/sex development and may support hypothesis testing following multi-modal data collection. We show VAR in three lights: supporting a hypothesis, rejecting a hypo
Externí odkaz:
https://doaj.org/article/763beb0d13f04ccfa9196e92b8de57af
Autor:
Sandrine Legault, Derek P. Fraser-Halberg, Ralph L. McAnelly, Matthew G. Eason, Michael C. Thompson, Roberto A. Chica
Publikováno v:
Chemical Science. 13:1408-1418
We used computational design to increase quantum yield in a fluorescent protein by optimizing chromophore packing to reduce non-radiative decay, resulting in an >10-fold increase in quantum yield that was further improved by directed evolution.
Autor:
Antony D. St-Jacques, Joshua M. Rodriguez, Matthew G. Eason, Scott M. Foster, Safwat T. Khan, Adam M. Damry, Natalie K. Goto, Michael C. Thompson, Roberto A. Chica
Structural plasticity of enzymes dictates their function. Yet, our ability to rationally remodel enzyme conformational landscapes to tailor catalytic properties remains limited. Here, we report a computational procedure for tuning conformational land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc851cb51fb15e02aeab27097d7f72cf
https://doi.org/10.1101/2022.09.16.508321
https://doi.org/10.1101/2022.09.16.508321
Autor:
Sandrine, Legault, Derek P, Fraser-Halberg, Ralph L, McAnelly, Matthew G, Eason, Michael C, Thompson, Roberto A, Chica
Publikováno v:
Chemical science. 13(5)
Red fluorescent proteins (RFPs) have found widespread application in chemical and biological research due to their longer emission wavelengths. Here, we use computational protein design to increase the quantum yield and thereby brightness of a dim mo
Autor:
Hernan G. Garcia, Safwat T. Khan, Matthew G. Eason, Roberto A. Chica, Antonia T. Pandelieva, Marc M. Mayer
Publikováno v:
ACS Synth Biol
Fluorescent proteins are widely used as fusion tags to detect protein expression in vivo. To become fluorescent, these proteins must undergo chromophore maturation, a slow process with a half-time of 5 to >30 min that causes delays in real-time detec
Autor:
Antonia T. Pandelieva, Marc M. Mayer, Matthew G. Eason, Roberto A. Chica, Hernan G. Garcia, Safwat T. Khan
Fluorescent proteins are widely used as fusion tags to detect protein expression in vivo. To become fluorescent, these proteins must undergo chromophore maturation, a slow process with a half-time of 5 to >30 min, which causes delays in real-time det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28b8818459863ded69af2282c80b1be6
https://doi.org/10.1101/2020.07.30.229633
https://doi.org/10.1101/2020.07.30.229633
Publikováno v:
Frontiers in Psychology
Frontiers in Psychology, Vol 11 (2020)
Frontiers in Psychology, Vol 11 (2020)
Vector autoregression (VAR) modeling allows probing bidirectional relationships in gender/sex development and may support hypothesis testing following multi-modal data collection. We show VAR in three lights: supporting a hypothesis, rejecting a hypo
Publikováno v:
International Journal of Aerospace Engineering, Vol 2011 (2011)
Reengineering of the aircraft structural life prediction process to fully exploit advances in very high performance digital computing is proposed. The proposed process utilizes an ultrahigh fidelity model of individual aircraft by tail number, a Digi
Externí odkaz:
https://doaj.org/article/4c3e6de09be041ff9217d8fde4778177
Vector autoregression (VAR) modeling allows probing bidirectional relationships in gender development and may support hypothesis testing following multi-modal data collection. We show VAR in three lights: supporting a hypothesis, rejecting a hypothes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3ca62d3a9346b8ad75f1ba46e78bf8b
https://doi.org/10.31219/osf.io/u4tzv
https://doi.org/10.31219/osf.io/u4tzv