Accelerated discovery via a whole-cell model

Whole-cell modeling promises to facilitate scientific inquiry by prioritizing future experiments based on existing datasets. To test this promise, we compared simulated growth rates with new measurements for all viable single-gene disruption strains in Mycoplasma genitalium. The discrepancies betwee...

Descripción completa

Detalles Bibliográficos
Autores principales: Sanghvi, Jayodita C., Regot, Sergi, Carrasco, Silvia, Karr, Jonathan R., Gutschow, Miriam V., Bolival, Benjamin, Covert, Markus W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3856890/
https://www.ncbi.nlm.nih.gov/pubmed/24185838
http://dx.doi.org/10.1038/nmeth.2724
_version_ 1782295106049540096
author Sanghvi, Jayodita C.
Regot, Sergi
Carrasco, Silvia
Karr, Jonathan R.
Gutschow, Miriam V.
Bolival, Benjamin
Covert, Markus W.
author_facet Sanghvi, Jayodita C.
Regot, Sergi
Carrasco, Silvia
Karr, Jonathan R.
Gutschow, Miriam V.
Bolival, Benjamin
Covert, Markus W.
author_sort Sanghvi, Jayodita C.
collection PubMed
description Whole-cell modeling promises to facilitate scientific inquiry by prioritizing future experiments based on existing datasets. To test this promise, we compared simulated growth rates with new measurements for all viable single-gene disruption strains in Mycoplasma genitalium. The discrepancies between simulations and experiments led to novel model predictions about specific kinetic parameters that we subsequently validated. These findings represent the first application of whole-cell modeling to accelerate biological discovery.
format Online
Article
Text
id pubmed-3856890
institution National Center for Biotechnology Information
language English
publishDate 2013
record_format MEDLINE/PubMed
spelling pubmed-38568902014-06-01 Accelerated discovery via a whole-cell model Sanghvi, Jayodita C. Regot, Sergi Carrasco, Silvia Karr, Jonathan R. Gutschow, Miriam V. Bolival, Benjamin Covert, Markus W. Nat Methods Article Whole-cell modeling promises to facilitate scientific inquiry by prioritizing future experiments based on existing datasets. To test this promise, we compared simulated growth rates with new measurements for all viable single-gene disruption strains in Mycoplasma genitalium. The discrepancies between simulations and experiments led to novel model predictions about specific kinetic parameters that we subsequently validated. These findings represent the first application of whole-cell modeling to accelerate biological discovery. 2013-11-03 2013-12 /pmc/articles/PMC3856890/ /pubmed/24185838 http://dx.doi.org/10.1038/nmeth.2724 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Sanghvi, Jayodita C.
Regot, Sergi
Carrasco, Silvia
Karr, Jonathan R.
Gutschow, Miriam V.
Bolival, Benjamin
Covert, Markus W.
Accelerated discovery via a whole-cell model
title Accelerated discovery via a whole-cell model
title_full Accelerated discovery via a whole-cell model
title_fullStr Accelerated discovery via a whole-cell model
title_full_unstemmed Accelerated discovery via a whole-cell model
title_short Accelerated discovery via a whole-cell model
title_sort accelerated discovery via a whole-cell model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3856890/
https://www.ncbi.nlm.nih.gov/pubmed/24185838
http://dx.doi.org/10.1038/nmeth.2724
work_keys_str_mv AT sanghvijayoditac accelerateddiscoveryviaawholecellmodel
AT regotsergi accelerateddiscoveryviaawholecellmodel
AT carrascosilvia accelerateddiscoveryviaawholecellmodel
AT karrjonathanr accelerateddiscoveryviaawholecellmodel
AT gutschowmiriamv accelerateddiscoveryviaawholecellmodel
AT bolivalbenjamin accelerateddiscoveryviaawholecellmodel
AT covertmarkusw accelerateddiscoveryviaawholecellmodel

Ejemplares similares