TY - JOUR
T1 - Emerging whole-cell modeling principles and methods
AU - Goldberg, Arthur P.
AU - Szigeti, Balázs
AU - Chew, Yin Hoon
AU - Sekar, John AP
AU - Roth, Yosef D.
AU - Karr, Jonathan R.
N1 - Funding Information:
We thank Saahith Pochiraju for critical feedback. This work was supported by a National Institutes of Health MIRA award [grant number 1 R35 GM119771-01 ]; a National Science Foundation INSPIRE award [grant number 1649014 ]; and the National Science Foundation/ ERASynBio [grant numbers 1548123 , 335672 ]
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/6
Y1 - 2018/6
N2 - Whole-cell computational models aim to predict cellular phenotypes from genotype by representing the entire genome, the structure and concentration of each molecular species, each molecular interaction, and the extracellular environment. Whole-cell models have great potential to transform bioscience, bioengineering, and medicine. However, numerous challenges remain to achieve whole-cell models. Nevertheless, researchers are beginning to leverage recent progress in measurement technology, bioinformatics, data sharing, rule-based modeling, and multi-algorithmic simulation to build the first whole-cell models. We anticipate that ongoing efforts to develop scalable whole-cell modeling tools will enable dramatically more comprehensive and more accurate models, including models of human cells.
AB - Whole-cell computational models aim to predict cellular phenotypes from genotype by representing the entire genome, the structure and concentration of each molecular species, each molecular interaction, and the extracellular environment. Whole-cell models have great potential to transform bioscience, bioengineering, and medicine. However, numerous challenges remain to achieve whole-cell models. Nevertheless, researchers are beginning to leverage recent progress in measurement technology, bioinformatics, data sharing, rule-based modeling, and multi-algorithmic simulation to build the first whole-cell models. We anticipate that ongoing efforts to develop scalable whole-cell modeling tools will enable dramatically more comprehensive and more accurate models, including models of human cells.
UR - http://www.scopus.com/inward/record.url?scp=85038826156&partnerID=8YFLogxK
U2 - 10.1016/j.copbio.2017.12.013
DO - 10.1016/j.copbio.2017.12.013
M3 - Review article
C2 - 29275251
AN - SCOPUS:85038826156
SN - 0958-1669
VL - 51
SP - 97
EP - 102
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
ER -