Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Peter C, St John"'
Autor:
Chen Ling, George L. Peabody, Davinia Salvachúa, Young-Mo Kim, Colin M. Kneucker, Christopher H. Calvey, Michela A. Monninger, Nathalie Munoz Munoz, Brenton C. Poirier, Kelsey J. Ramirez, Peter C. St. John, Sean P. Woodworth, Jon K. Magnuson, Kristin E. Burnum-Johnson, Adam M. Guss, Christopher W. Johnson, Gregg T. Beckham
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Muconic acid is a platform chemical with wide industrial applicability. Here, the authors report efficient muconate production from glucose and xylose by engineered Pseudomonas putida strain using adaptive laboratory evolution, metabolic modeling, an
Externí odkaz:
https://doaj.org/article/b5842f1b194c4c5081ddd1bbb47e1529
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 214-225 (2021)
Microorganisms rely on protein interactions to transmit signals, react to stimuli, and grow. One of the best ways to understand these protein interactions is through structural characterization. However, in the past, structural knowledge was limited
Externí odkaz:
https://doaj.org/article/5d65b9f3d2894dba87869c1ff93bd4d2
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Bond dissociation enthalpies are key quantities in determining chemical reactivity, their computations with quantum mechanical methods being highly demanding. Here the authors develop a machine learning approach to calculate accurate dissociation ent
Externí odkaz:
https://doaj.org/article/964aa89eb79f42c7a32be1f33359d400
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Prior engineering of the ethanologen Zymomonas mobilis has enabled it to metabolize xylose and to produce 2,3-butanediol (2,3-BDO) as a dominant fermentation product. When co-fermenting with xylose, glucose is preferentially utilized, even though xyl
Externí odkaz:
https://doaj.org/article/9c2047d1d1574a8886668f072dd7f93b
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-3 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/5a60048b206545b69205db7160c99178
Upper-Bound Energy Minimization to Search for Stable Functional Materials with Graph Neural Networks
Publikováno v:
JACS Au. 3:113-123
The discovery of new materials in unexplored chemical spaces necessitates quick and accurate prediction of thermodynamic stability, often assessed using density functional theory (DFT), and efficient search strategies. Here, we develop a new approach
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 11, p e1007424 (2019)
Modern biological tools generate a wealth of data on metabolite and protein concentrations that can be used to help inform new strain designs. However, learning from these data to predict how a cell will respond to genetic changes, a key need for eng
Externí odkaz:
https://doaj.org/article/4013b75cc13149989c7c0a9315c5cd70
Autor:
Shree Sowndarya S. V., Jeffrey N. Law, Charles E. Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John
Publikováno v:
Nature Machine Intelligence. 4:720-730
Advances in the field of goal-directed molecular optimization offer the promise of finding feasible candidates for even the most challenging molecular design applications. One example of a fundamental design challenge is the search for novel stable r
Autor:
Yeonjoon Kim, Jaeyoung Cho, Hojin Jung, Lydia E. Meyer, Gina M. Fioroni, Keunhong Jeong, Robert L. McCormick, Peter C. St. John, Seonah Kim
Computational predictions of vaporization properties aid the de novo design of green chemicals, including clean alternative fuels and working fluids for efficient thermal energy recovery. Here, we developed chemically explainable graph attention netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e34ac93ca605c34dd4991ab49782505e
https://doi.org/10.26434/chemrxiv-2023-hs9n1
https://doi.org/10.26434/chemrxiv-2023-hs9n1
Autor:
Peter C. St. John, Yannick J. Bomble
Publikováno v:
Frontiers in Microbiology, Vol 10 (2019)
Modern omics analyses are able to effectively characterize the genetic, regulatory, and metabolic phenotypes of engineered microbes, yet designing genetic interventions to achieve a desired phenotype remains challenging. With recent developments in g
Externí odkaz:
https://doaj.org/article/0f75d65146c64109a3869c3182417300