Discover and read the best of Twitter Threads about #systemsbiology

Most recents (4)

Why are biologists adopting #julialang #sciml? Performance, metaprogramming, and the development of new abstractions are improving software tools for #computationalbiology #systemsbiology #bioinformatics. Check out this new paper in Nature Methods!

nature.com/articles/s4159…
In this we detail how #julialang's core compute model gives faster code, with a detailed calculation of the effects of the #python interpreter and kernel launching costs on simulation performance. It's pretty cool how one can pen and paper calculate the 100x expected difference. Image
Julia's ecosystem has a complete set of tools for mathematical modeling (#sysbio), #bioinformatics, #machinelearning, and #datascience which we contextualize in the field of biology. Image
Read 7 tweets
We are starting Dr. @SaraSuliman13's talk on #TB and #BCells! Let's go! #BIIW21 #BIIAtTheBench
#GWAS can be hard to link genes together and that's okay. This means we need to regroup #BIIW21 #BIIAtTheBench
Read 6 tweets
1/ Hot-off-the-press πŸ”₯βœπŸ½πŸ—£

Precision #CardioOncology: Systems-based Perspective on Tyrosine Kinase Inhibitors & Immune Checkpoint Inhibitors

#PrecisionCardioOnc @SpringerNature

Latest manuscript w/ @MayoClinicCV @mayocvonc & edited by @AnaBaracCardio

rdcu.be/b3q0Y
2/ πŸ”₯βœπŸ½πŸ—£

A broad spectrum of #CVD toxicities can be seen with targeted therapies or #ICIs

Toxicities of one or the other can include cardiomyopathy, HF, myocarditis, venous or arterial thrombosis, progression of atherosclerosis, QTc prolongation, or arrhythmias

#CardioOnc
3/ πŸ”₯βœπŸ½πŸ—£

An eminent need is optimal risk management, surveillance, detection, and prevention

The heterogeneities of patient populations, risks, and disease spectra have complicated clinical and translation efforts

#cvPrev #PrevCardioOnc #CardioOnc
Read 13 tweets
Incredible paper from the Elledge group in @CellCellPress, cell.com/cell/fulltext/…, discovering new regulation of protein stability by β€œDesCEND” degrons and shaping of eukaryotic proteome... 1/18
Starts with proteome-scale discovery of linear peptide degrons (sequences mediating degradation) - peptide fusion with GFP, co-expressed with DsRED as internal control - sort based on GFP/DsRED ratio, low ratio = unstable GFP = peptide acting as degron... 2/18
CRL (cullin ring E3 ligase) inhibition stabilized a fraction of peptide-GFP fusions - shown to be mostly Cul2 and Cul5 dependent. CRISPR screening leads to some CRL2 adaptors... 3/18
Read 18 tweets

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