2026-10-11T20:24:54Z
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2026-09-28T17:57:42Z
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<p>Experimentally constrained population information used for latent-state reconstruction.</p>
Juhyeon Kim (3796651)
Hangjun Cho (24418434)
Jin Hong Mok (25132877)
Hyeongmin Seo (7504133)
Joseph Sang-Il Kwon (6894362)
Biochemistry
Medicine
Biotechnology
Environmental Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Ecology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
sequential metabolic exchange
reconstructs dormant populations
div >< p
combines structured population
internal physiological states
hidden cell states
dormant cell states
constrained latent states
standard fermentation measurements
associated state transitions
principles perfusion transport
observable fermentation data
clostridium ljungdahlii </
clostridium acetobutylicum </
hybrid modeling framework
organic acid turnover
framework estimates active
clostridium </
framework provides
state reconstruction
activity measurements
perfusion mode
partially observable
transparent strategy
sparse identification
solvent formation
rarely resolved
nonlinear dynamics
modeling study
metabolite trajectories
level behavior
isopropanol conversion
influence system
equivalent trajectories
<p>Total biomass was estimated from OD<sub>600</sub>, whereas the active cell population was obtained from rRNA-FISH/flow cytometry measurements. Dormant biomass was not directly measured, but was inferred as a latent state in the structured population model.</p>
2026-09-28T17:57:36Z
Image
Figure
10.1371/journal.pcbi.1014759.g003
https://figshare.com/articles/figure/_p_Experimentally_constrained_population_information_used_for_latent-state_reconstruction_p_/34017911
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