Alejandro Poveda @alejo_fractal
Postdoctoral Research at the Goethe-Universität Frankfurt - Ph.D. in Bioinformatics - Music lover - Colombian 🇨🇴 researchgate.net/profile/Sergio… Frankfurt am Main, Germany Joined September 2016-
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Alejandro Poveda retweeted
Code to complex: AI-driven de novo binder design 1. This review by Fox et al. explores how AI has transformed de novo protein binder design, making it possible to rapidly generate high-affinity binders for diverse targets with improved efficiency and reduced resource…
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Alejandro Poveda retweeted
Martini on top of the world ! TS2CG as a Membrane Builder | Journal of Chemical Theory and Computation pubs.acs.org/doi/10.1021/ac…
Alejandro Poveda retweeted
#ATENCIÓN Juez declara a Álvaro Uribe de manipulación de testigos. Esta noticia está en desarrollo.
Alejandro Poveda retweeted
Our study where we develop EvoBind2: Design of linear and cyclic peptide binders from protein sequence information is now published! nature.com/articles/s4200…
Alejandro Poveda retweeted
Ah, all the artifacts were fixed by replacing one '<' with '<=', duh. It all works now, particle life completely on WebGPU! There are 2^18 (~260k) particles here; my PC struggles after about half a million particles. Will probably try to optimize it a bit later.
Alejandro Poveda retweeted
Vina-CUDA: An Efficient Program with in-Depth Utilization of GPU to Accelerate Molecular Docking #Docking pubs.acs.org/doi/10.1021/ac… #JCIM Vol65 Issue10 #ApplicationNote
Alejandro Poveda retweeted
The ChimeraX 1.10 release candidate and daily builds can predict small complexes of proteins, nucleic acids and small molecules using Boltz on your Mac, Windows or Linux computer. rbvi.ucsf.edu/chimerax/data/…
Alejandro Poveda retweeted
I’m excited, relieved, and honored to announce that my paper describing non-canonical mitotic mechanisms in the early mouse embryo is out in @ScienceMagazine ! (link at end of 🧵)
Alejandro Poveda retweeted
🧵Google DeepMind just dropped a bombshell: An AI agent that autonomously writes algorithms better than humans. It’s called AlphaEvolve, and it could completely change how we build software and solve problems. Here’s why this changes everything👇
Alejandro Poveda retweeted
The Open Molecules 2025 dataset is out! With >100M gold-standard ωB97M-V/def2-TZVPD calcs of biomolecules, electrolytes, metal complexes, and small molecules, OMol is by far the largest, most diverse, and highest quality molecular DFT dataset for training MLIPs ever made 1/N
Alejandro Poveda retweeted
GoGoGoGoGoGoGoMartini3 now finally published! nature.com/articles/s4146…
Alejandro Poveda retweeted
pKa Scale in DMSO
Alejandro Poveda retweeted
It's like ChatGPT, but for proteins 😍 See RFdiffusion in action. Instead of writing essays, this AI tool builds new protein structures from scratch, or based on your prompts (like a desired shape or motif). It's powered by a deep learning technique called diffusion models,…
Alejandro Poveda retweeted
Excited to share our pre-print on the molecular architecture of heterochromatin in human cells🧬🔬 w/ @jpkreysing, Johannes Betz,Turoňová lab, @MarinaLusic, Hummer lab, @Beck_Laboratory, @MPIbp 🔗 Preprint here: doi.org/10.1101/2025.0…
Alejandro Poveda retweeted
"Education isn't something you can finish." - Isaac Asimov (1920 - 1992)
Alejandro Poveda retweeted
MartiniGlass: a Tool for Enabling Visualization of Coarse-Grained Martini Topologies | Journal of Chemical Information and Modeling pubs.acs.org/doi/10.1021/ac…
Alejandro Poveda retweeted
One of the best starts to a Quantum Mechanics lecture ✍️
Alejandro Poveda retweeted
Howl's Moving Castle model ✨
Alejandro Poveda retweeted
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