A whole-cell computational model predicts phenotype from genotype.

ABSTRACT: Understanding how complex phenotypes arise from individual molecules and their interactions is a primary challenge in biology that computational approaches are poised to tackle. We report a whole-cell computational model of the life cycle of the human pathogen Mycoplasma genitalium that includes all of its molecular components and their interactions. An integrative approach to modeling that combines diverse mathematics enabled the simultaneous inclusion of fundamentally different cellular processes and experimental measurements. Our whole-cell model accounts for all annotated gene functions and was validated against a broad range of data. The model provides insights into many previously unobserved cellular behaviors, including in vivo rates of protein-DNA association and an inverse relatio

SUBMITTER: Karr JR 

PROVIDER: S-EPMC3413483 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature