Oh no... 😢 se va uno de los mejores blogs que recuerdo.
No sólo divulgaban sobre economía y políticas públicas, también representaban una forma de afrontar el debate racional, sosegada, humilde frente a la complejidad.
Una víctima más de la inmediatez y la polarización de las redes sociales.
In a development that could transform how scientists study cancer, neurodegeneration and inflammation, #UCSB researchers have invented a modular, genetically encoded, protein-based sensor that enables MRI machines to visualize molecular activity inside cells.
Full story: https://ow.ly/cRmg50YqsiU
🚨 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭 🚨
💡epiGPTope: A Machine Learning-Based Epitope Generator and Classifier
📄 ACS Synthetic Biology
👉https://doi.org/10.1021/acssynbio.5c00693
Publicly available dataset of protein-ligand affinities and structures!
In the era of AI models, high quality data is the key!
My reply to @anshulkundaje.bsky.social on the other site has been quoted in this @nature.com report on Isomorphic's new DDE model, which relies on private data to a degree that is probably unprecedented in the history of this field 🧪🧬
#bioGUNE_News | 🎉 Yesterday we celebrated our 21st anniversary at #CICbioGUNE @brtaeus.bsky.social with a cutting-edge scientific day
🔸 Isabel Fariñas on neural stem cell quiescence
🔸 June Ereño-Orbea on Siglec–sialoglycan cancer immunotherapy
🔗 www.cicbiogune.es/news/cic-bio...
🔬 Biophysics Week a la @uvic-ucc.cat!
El 25/03/26 acollim la xerrada “Nanorobots in action” amb la Dra. Maria Guix Noguera, per descobrir com la biofísica nano pot transformar la medicina del futur.
📍 Aula Magna
🕥 11:30 h
🔗 Inscripcions: tuit.cat/NgpwL
#BioPhyzza2026 #BiophysicsWeek #UVicUCC #FCTE
“It’s a major advance, on the scale of an AlphaFold4. The problem, of course, is that we know nothing of the details.”
Isomorphic Lab’s proprietary drug-discovery model is a major advance
go.nature.com/3Mm2ZnQ
Finding one mutation that improves a protein is hard. Finding five that work together is exponentially harder.
Today in @science.org, Hsu and Konermann labs present MULTI-evolve, a lab-in-the-loop framework that does it in just one machine learning-guided round.
In a development that could transform how scientists study cancer, neurodegeneration and inflammation, researchers have invented a modular, genetically encoded, protein-based sensor that enables MRI machines to visualize molecular activity inside cells.
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.
Facultat de Ciències, Tecnologia i Enginyeries de la UVic-UCC
Nature
Cese de actividad del blog NeG vía @nadaesgratis.bsky.social #Economía nadaesgratis.es/editores/ces...
#OpenBind announces its first data drop marking a major milestone for AI‑Enabled #DrugDiscovery! It’s the first initiative to generate open, AI‑ready datasets for protein–drug complexes, produced continuously & at industrial scale to enable the next generation of #AI models. https://loom.ly/eIrsqqg
Arc Institute
“It’s a major advance, on the scale of an AlphaFold4. The problem, of course, is that we know nothing of the details.”
Isomorphic Lab’s proprietary drug-discovery model is a major advance
go.nature.com/3Mm2ZnQ
A detailed comparison of de novo designed proteins by NMR finally puts to rest the idea that structure prediction confidence metrics have any correlation with local flexibility
Diego del Alamo
Nada es Gratis
OpenBind
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.
Large-scale exploration of protein space by automated NMR [new]
enables high-throughput experimental characterization of designed protein structure and dynamics, revealing how sequences encode motion.
