Bayesian modeling reveals metabolite-dependent ultrasensitivity in the cyanobacterial circadian clock.
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| Title: | Bayesian modeling reveals metabolite-dependent ultrasensitivity in the cyanobacterial circadian clock. |
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| Authors: | Hong L; Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL, USA., Lavrentovich DO; Department of Chemistry, University of Chicago, Chicago, IL, USA., Chavan A; School of Natural Sciences, University of California, Merced, CA, USA., Leypunskiy E; Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL, USA., Li E; Department of Statistics, University of Chicago, Chicago, IL, USA., Matthews C; Department of Statistics, University of Chicago, Chicago, IL, USA., LiWang A; School of Natural Sciences, University of California, Merced, CA, USA.; Quantitative and Systems Biology, University of California, Merced, CA, USA.; Center for Circadian Biology, University of California, San Diego, La Jolla, CA, USA.; Chemistry and Chemical Biology, University of California, Merced, CA, USA.; Health Sciences Research Institute, University of California, Merced, CA, USA.; Center for Cellular and Biomolecular Machines, University of California, Merced, CA, USA., Rust MJ; Department of Molecular Genetics and Cell Biology, University of Chicago, Chicago, IL, USA.; Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.; Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL, USA., Dinner AR; Department of Chemistry, University of Chicago, Chicago, IL, USA.; Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.; James Franck Institute, University of Chicago, Chicago, IL, USA. |
| Source: | Molecular systems biology [Mol Syst Biol] 2020 Jun; Vol. 16 (6), pp. e9355. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: EMBO Press Country of Publication: Germany NLM ID: 101235389 Publication Model: Print Cited Medium: Internet ISSN: 1744-4292 (Electronic) Linking ISSN: 17444292 NLM ISO Abbreviation: Mol Syst Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1744-4292 |
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| DOI: | 10.15252/msb.20199355 |
