@article{d862002bc70f4686ad98862763675cda,
title = "Accelerated discovery via a whole-cell model",
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.",
author = "Sanghvi, {Jayodita C.} and Sergi Regot and Silvia Carrasco and Karr, {Jonathan R.} and Gutschow, {Miriam V.} and Benjamin Bolival and Covert, {Markus W.}",
note = "Funding Information: We acknowledge support from: an US National Institutes of Health Pioneer Award (5DP1LM01150-05) and an Allen Distinguished Investigator Award to M.W.C.; Siebel Scholars, US National Science Foundation and Stanford University Bio-X Fellowships to J.C.S.; an European Molecular Biology Organization Fellowship (ALTF1371-2011) to S.R.; US National Defense Science and Engineering Graduate Fellowship, US National Science Foundation fellowship, and Stanford Graduate Fellowship to J.R.K.; and Weiland and Rensselaer Engineering Fellowships to M.V.G.",
year = "2013",
month = dec,
doi = "10.1038/nmeth.2724",
language = "English (US)",
volume = "10",
pages = "1192--1195",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "Nature Publishing Group",
number = "12",
}