✅ Una medida excelente, que se venía demandando por todos aquellos que en algún momento participamos en paneles de evaluación del Programa RyC. @ASEICAnews@CienciaGob@ciccancer
Our latest manuscript is finally out in @NatureSMB!
Here, we show that the GAP activity of SEAC (GATOR) acts as a molecular switch, regulating both inhibition and reactivation of TORC1 upon changes in amino acid levels.
https://t.co/EgW0fh2c0a
#cibjoboffer
Postdoctoral candidate to collaborate on a project that aims to understand the pathophysiology of mitochondrial disorders.
Deadline: February 28, 2026
More info 👇
Revista SEBBM 227 diciembre 2025
Dinámica conformacional del receptor GluA4: bases moleculares de su función y modulación por TARP-γ2
https://t.co/EYjykYTRPy
@BeatrizHergued1
Very happy to share a new preprint from my work in the @VanniniLab at @humantechnopole! https://t.co/eyEPUJDupD
If you are curious to understand what are the conformational changes that make human condensin II active in compacting the DNA during mitosis, have a read!
Researches at #cniostopcancer create the ‘human repairome’, a catalogue of DNA ‘scars’ that will help define personalised cancer treatments.
Published in @ScienceMagazine
https://t.co/Fu0UIIhMF6
Our GPUs are always busy processing cool cryoEM data❄️, but we *really* wanted a to mess around designing protein binders.
To avoid swamping our cluster (and our colleagues complains 😅), we built a small batch-based binder design pipeline.
Hopefully you'll find it useful too!
We hope BinderFlow empowers more labs to explore generative protein design, making it a routine tool for both exploratory & production-level research.
Everything is open source:
https://t.co/GL07gSBCpe
Read the full preprint here:
https://t.co/OElkbCkETT
We present BinderFlow, a modular & automated pipeline that makes de novo protein binder design more accessible, efficient, and user-friendly.
Preprint by @Nayimcete, Twitterless Carlos, @LlorcaLab, and myself:
https://t.co/OElkbCkETT
Open source code:
https://t.co/GL07gSBCpe
BinderFlow is fully modular:
- Swap in new backbone generators, sequence designers, or scoring tools
- Add new strategies as they emerge
We illustrate this with two refinement approaches:
- Partial Diffusion
- Sequence Diversity
Pre-print out from the @SternbergLab with our contribution on the structural side. Great effort from Matt, Egill Tanner and the rest of the team leaded by awesome Sam!
A 1 year effort on my side learning helical reconstruction by cryoEM... 👇