iiinova — where your digital self keeps evolving

Reposted by Jakob Steuer

Frank Noe @franknoe.bsky.social · 01/10/2025

Join our BioEmu project @msftresearch.bsky.social AI for Science. In Berlin DE or Cambridge UK: aka.ms/bioemu-ml - #MachineLearning Researcher aka.ms/bioemu-data - Data Engineer aka.ms/bioemu-applied - Applied Researcher aka.ms/bioemu-principal - Principal Applied Researcher

aka.ms

Search Jobs | Microsoft Careers

01510

Jakob Steuer @jakobsteuer.bsky.social · 24/09/2025

Fantastic keynote by @jameszou.bsky.social on self-governing, agent-based systems at the #CECAM workshop on Generative AI and large language models for protein modelling in Lugano.

120

Jakob Steuer @jakobsteuer.bsky.social · 11/09/2025

That's a wrap on [BC]² 2025 in Basel! 3 absolutely fantastic days full of cutting-edge science and brilliant discussions. Left feeling energized by the inspiring talks, workshops, and the amazing computational biology community. Huge thanks to the organizers @sib.swiss #bc2basel

110

Reposted by Jakob Steuer

SIB Swiss Institute of Bioinformatics @sib.swiss · 08/09/2025

Welcome everyone to the 2025 [BC]² Basel Computational Biology Conference. Speakers and attendees from all over the world gather for 3 exciting days of discussion to shape the future of data-driven biology where #Bioinformatics meets #AI. #bc2basel

1113

Reposted by Jakob Steuer

Martin Pacesa @martinpacesa.bsky.social · 30/06/2025

We have written up a tutorial on how to run BindCraft, how to prepare your input PDB, how to select hotspots, and various other tips and tricks to get the most out of binder design! github.com/martinpacesa...

413755

Jakob Steuer @jakobsteuer.bsky.social · 10/07/2025

Had a great time at the 1st Swiss Symposium on Protein Design for Academia and Industry today at @fhnw.ch. Bruno Correia, Basile Wicky, @bunzela.bsky.social, Ali Deliz Liang and Pablo Rivera-Fuentes shared their research. Thank you to Abdullah Kahraman for organising and @sib.swiss for sponsoring!

141

Reposted by Jakob Steuer

Science Magazine @science.org · 26/02/2025

In a new Science study, researchers present ESM3, a protein language model that enables the programmed generation of protein structure and sequence in response to user prompts. Learn more: scim.ag/40l2z3J

scim.ag

Simulating 500 million years of evolution with a language model

More than 3 billion years of evolution have produced an image of biology encoded into the space of natural proteins. Here, we show that language models trained at scale on evolutionary data can genera...

09920