To correctly determine a distance there, we used Jensen Shannon Divergence as a metric, which is a symmetrified version of the well-known Kullback–Leibler divergence for comparing distributions.
The GradR data can be searched online at synecho-rapdor.biologie.uni-freiburg.de
@meinbio.bsky.social
Accurate RNA structure prediction remains a challenge, despite recent computational advances. This study presents DRFold2, a #DeepLearning framework that significantly enhances accuracy of de novo #RNAstructure prediction by increasing contact prediction precision @plosbiology.org 🧪 plos.io/4aoOQiX
PLOS Biology
Riding a train in China, returning from the ISPP 2025 and the Green Carbon conference.
A new + interesting paper on the guanidine riboswitch in Synechocystis and other cyanobacteria:
"Deciphering guanidine assimilation and ri"boswitch-based gene regulation in cyanobacteria for synthetic biology applications" | PNAS www.pnas.org/doi/10.1073/...
Wolfgang Hess
We have been searching for novel RNA-binding proteins and validated, among many candidates, Sll1967 (a possible RlmD homolog), Sll0726 (phosphoglucomutase), Ssl2245 (a putative antitoxin), Slr0711 (possible QueF homolog), and Sll0947 (ribosome-associated inhibitor RaiA/LrtA homolog) as binding RNA.
For the intuitive analysis + visualization of such datasets we introduce RAPDOR. In contrast to expression profiles, which are compared e.g. by correlation, the results of GradR and similar approaches are naturally displayed as distributions, as the protein fraction in each compartment is measured.
„RAPDOR: Using Jensen-Shannon Distance for the computational analysis of complex proteomics dataset“ rdcu.be/eImcr : 11 authors from 3 labs. Many thanks to all for making this possible!
Guanidine is well known as a denaturing agent. However, recent studies have demonstrated
both the widespread synthesis of guanidine, e.g., in plant...
