A KaiC mutation, RC, which has been shown to affect the affinity of KaiB for KaiC and lengthen the period in a bioluminescence rhythm assay, is found within the middle of the predicted KaiBC interface. Klass paber, papp kartong ja nendest valmistatud tooted, mis ei kuulu teistesse klassidesse; trükised; trükitooted; kalendrid, käsiraamatud, märkmikud; diagrammid, graafilised kujutised, arvutustabelid, loendid, nimestikud, registrid, plaanid, projektid; köitematerjal; fotod; kontoritarbed; kirjatarbed; majapidamis- ja kantseleiliimid; kunstnikutarbed; pintslid maalimiseks ; kirjutusmasinad ja kantseleitarbed v.
A KaiC mutation, RC, which has been shown to affect the affinity of KaiB for KaiC and lengthen the period in a bioluminescence rhythm assay, is found within the middle of the predicted KaiBC interface.
We demonstrate here that the AV KaiC mutant sheds light on the former mechanism. It was previously reported that AV is less sensitive to dark pulse-induced phase resetting and has a reduced amplitude of the KaiC phosphorylation rhythm in vivo.
A maps to a loop loop that continues toward the phosphorylation sites. By pulling on the C-terminal peptide of KaiC A-loopKaiA removes restraints from the adjacent loop whose increased flexibility indirectly promotes kinase activity.
Supertrees can be seen as meta-analytical tools that can be used to make inferences based on results of previous scientific studies. Their meta-analytical application has increased in popularity since it was realised that the power of statistical tests for the study of evolutionary trends critically depends on the use of taxon-dense phylogenies.
Further to that, supertrees have found applications in phylogenomics where they are used to combine gene trees and recover species phylogenies based on genome-scale data sets.
Here, we present the L. St package, a python tool for approximate maximum likelihood supertree inference and illustrate its application using a genomic data set for the placental mammals. St allows the calculation of the approximate likelihood of a supertree, given a set of input trees, performs heuristic searches to look for the supertree of highest likelihood, and performs statistical tests of two or more supertrees.