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