| Literature DB >> 33451181 |
Venkat Bokka1, Abhishek Dey1, Shaunak Sen1.
Abstract
The period and amplitude of biomolecular oscillators are functionally important properties in multiple contexts. For a biomolecular oscillator, the overall constraints in how tuning of amplitude affects period, and vice versa, are generally unclear. Here, the authors investigate this co-variation of the period and amplitude in mathematical models of biomolecular oscillators using both simulations and analytical approximations. The authors computed the amplitude-period co-variation of 11 benchmark biomolecular oscillators as their parameters were individually varied around a nominal value, classifying the various co-variation patterns such as a simultaneous increase/decrease in period and amplitude. Next, the authors repeated the classification using a power norm-based amplitude metric, to account for the amplitudes of the many biomolecular species that may be part of the oscillations, finding largely similar trends. Finally, the authors calculate 'scaling laws' of period-amplitude co-variation for a subset of these benchmark oscillators finding that as the approximated period increases, the upper bound of the amplitude increases, or reaches a constant value. Based on these results, the authors discuss the effect of different parameters on the type of period-amplitude co-variation as well as the difficulty in achieving an oscillation with large amplitude and small period.Entities:
Keywords: analytical approximations; biology computing; biomolecular oscillators; circadian rhythms; co-variation patterns; mathematical models; molecular biophysics; oscillations; period-amplitude co-variation; power norm-based amplitude metric; scaling laws
Year: 2018 PMID: 33451181 PMCID: PMC8687215 DOI: 10.1049/iet-syb.2018.0015
Source DB: PubMed Journal: IET Syst Biol ISSN: 1751-8849 Impact factor: 1.615