Markovian State Models uncover Casein Kinase 1 dynamics that govern circadian period.

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Bibliographic Details
Title: Markovian State Models uncover Casein Kinase 1 dynamics that govern circadian period.
Authors: Ricci CG; Department of Chemistry and Biochemistry, University of California San Diego, San Diego, California, United States.; Current address: D.E. Shaw Research, New York, New York, United States., Philpott JM; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, California, United States., Torgrimson MR; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, California, United States., Freeberg AM; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, California, United States., Narasimamurthy R; Program in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore., de Barros EP; Department of Chemistry and Biochemistry, University of California San Diego, San Diego, California, United States., Amaro R; Department of Chemistry and Biochemistry, University of California San Diego, San Diego, California, United States., Virshup DM; Program in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore.; Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, United States., McCammon JA; Department of Chemistry and Biochemistry, University of California San Diego, San Diego, California, United States., Partch CL; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, California, United States.; Center for Circadian Biology, University of California San Diego, San Diego, California, United States.; Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, California, United States.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Jan 22. Date of Electronic Publication: 2025 Jan 22.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.01.17.633651