To test the promise of whole-cell modeling to facilitate scientific inquiry, we compared growth rates simulated in a whole-cell model with experimental measurements for all viable single-gene disruption Mycoplasma genitalium strains. Discrepancies between simulations and experiments led to predictions about kinetic parameters of specific enzymes that we subsequently validated. These findings represent, to our knowledge, the first application of whole-cell modeling to accelerate biological discovery.
%0 Journal Article
%1 Sanghvi2013Accelerated
%A Sanghvi, Jayodita C.
%A Regot, Sergi
%A Carrasco, Silvia
%A Karr, Jonathan R.
%A Gutschow, Miriam V.
%A Bolival, Benjamin
%A Covert, Markus W.
%D 2013
%I Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.
%J Nature methods
%K genome-scale whole-cell-simulation
%N 12
%P 1192--1195
%R 10.1038/nmeth.2724
%T Accelerated discovery via a whole-cell model.
%U http://dx.doi.org/10.1038/nmeth.2724
%V 10
%X To test the promise of whole-cell modeling to facilitate scientific inquiry, we compared growth rates simulated in a whole-cell model with experimental measurements for all viable single-gene disruption Mycoplasma genitalium strains. Discrepancies between simulations and experiments led to predictions about kinetic parameters of specific enzymes that we subsequently validated. These findings represent, to our knowledge, the first application of whole-cell modeling to accelerate biological discovery.
@article{Sanghvi2013Accelerated,
abstract = {To test the promise of whole-cell modeling to facilitate scientific inquiry, we compared growth rates simulated in a whole-cell model with experimental measurements for all viable single-gene disruption Mycoplasma genitalium strains. Discrepancies between simulations and experiments led to predictions about kinetic parameters of specific enzymes that we subsequently validated. These findings represent, to our knowledge, the first application of whole-cell modeling to accelerate biological discovery.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Sanghvi, Jayodita C. and Regot, Sergi and Carrasco, Silvia and Karr, Jonathan R. and Gutschow, Miriam V. and Bolival, Benjamin and Covert, Markus W.},
biburl = {https://www.bibsonomy.org/bibtex/20ed5d95a99357baffd3114eeecf9d43b/karthikraman},
citeulike-article-id = {12758912},
citeulike-linkout-0 = {http://dx.doi.org/10.1038/nmeth.2724},
citeulike-linkout-1 = {http://dx.doi.org/10.1038/nmeth.2724},
citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/24185838},
citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=24185838},
day = 3,
doi = {10.1038/nmeth.2724},
interhash = {d358401960946985a5c34255bf4c3cf0},
intrahash = {0ed5d95a99357baffd3114eeecf9d43b},
issn = {1548-7105},
journal = {Nature methods},
keywords = {genome-scale whole-cell-simulation},
month = dec,
number = 12,
pages = {1192--1195},
pmid = {24185838},
posted-at = {2013-11-06 09:19:23},
priority = {2},
publisher = {Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Accelerated discovery via a whole-cell model.},
url = {http://dx.doi.org/10.1038/nmeth.2724},
volume = 10,
year = 2013
}