@judewells.bsky.social

Encode AI for Science Fellow (Pillar VC / Imperial College London) Protein Design, PhD in machine learning for structural biology at UCL

Built by CATH, TÜM and NVIDIA, ProFam-1 is our new open-source protein family language model (pfLM) designed to generate functional protein variants and predict fitness using in-context example sequences.

Ok let’s go @adaptyv.bio binder design competition: this time designing proteins to neutralise the Nipah virus. Lots of great de novo ML binder design tools out there now, but this year I’m submitting an entry from TEAM HUMAN, seeing if pure rational design can win against the machines.

🚀 As first official act, we are hiring! 🎓 We’re looking for a PhD student to work at the interface of computational biophysics, machine learning & human mutations. 📌 FPI fellowship, 4 years fully funded! More information here: www.bsc.es/join-us/job-...

Gonzalo Parra@gonzaparra.bsky.social · 10mo ago

After months of buildup, it’s finally real! 🎉 The Evolutionary Systems Biophysics Group (ESBG) is officially alive at @bsc-cns.bsky.social . Proud to start this new adventure as a Ramon y Cajal Junior Group Leader🧬 Thanks to all who have been part of this process! tinyurl.com/4r9vf4zx

MMseqs2-GPU sets new standards in single query search speed, allows near instant search of big databases, scales to multiple GPUs and is fast beyond VRAM. It enables ColabFold MSA generation in seconds and sub-second Foldseek search against AFDB50. 1/n 📄 www.nature.com/articles/s41... 💿 mmseqs.com

GPU-accelerated homology search with MMseqs2 - Nature Methods

Graphics processing unit-accelerated MMseqs2 offers tremendous speedups for homology retrieval from metagenomic databases, query-centered multiple sequence alignment generation for structure predictio...

nature.com

It was lovely to speak at the CATH 30 symposium, celebrating 30 years of the @cathgene3d.bsky.social protein structure classification database. I was presenting recent work on our new generative protein-family language model: preprint coming soon.

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Thanks to everyone who came and talked with me about my poster at #PSB2025 : computational methods for predicting which mutations will cause drug inefficacy via protein-drug binding disruption

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Thrilled to announce Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction! An exciting collaboration with Jeremy, Saro, and an amazing team at MIT and Genesis Therapeutics. A thread!

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Our recent work TED: The Encyclopedia of Domains showcased by UCL: 365 million domain like structures identified in the AlphaFold DB, 194 million with proposed assignments to CATH superfamilies, plus a catalogue of domain-domain interactions. www.ucl.ac.uk/computer-sci...

UCL-led research reveals new protein map with potential to transform disease research

UCL researchers have developed The Encyclopedia of Domains (TED), a tool mapping millions of unknown protein regions, with potential for breakthroughs in drug discovery and disease research.

ucl.ac.uk