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Very pleased to announce that our paper “Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval” was accepted at ICML! Paper: arxiv.org/abs/2205.13760 Repo: github.com/OATML-Markslab… (1/10)

Super duper mega happy to announce that Mafalda Dias and I will be starting our lab at Centre for Genomic Regulation (CRG) this autumn! More info coming soon but in the meantime please do reach out if you are interested in joining us! #newPI #DeepLearning #DiseaseGenetics #biodiversity

Connecting theoretical physics and biology; and genotype to phenotype! - Wishing you all the best in Barcelona.

deboramarkslab.com is recruiting an Associate Lab Director! An outstanding opportunity for an ambitious computational biologist to manage projects at the cutting edge of machine learning and genomics. Send CV to [email protected]

Harvard link sysbio.med.harvard.edu/careers

Wish one could weigh in with NNF to reverse this decision. Very hard to understand. Our collaborations with CPR labs Mann and Brunak have been singularly successful. Great science & scientists.

Go cBioPortal ! Lots of new features for easy analytic access to cancer genomics, proteomics and more. Make your own discoveries on community-provided cancer data and analysis tools.

Ready to learn about protein design? Our beginner's guide breaks down this complex field into easy-to-understand concepts. Discover the potential of proteins to transform our world: ipd.uw.edu/2023/05/what-i…

Risk of pancreatic cancer predicted using machine learning. International collaboration. Brunak Lab Hale Family Center For Pancreatic Cancer Research Harvard Medical School HMS_SysBio Pete Kraft NF Bo Yuan Davide Placido Debora Marks Chris Sander aka cscbio nature.com/articles/s4159… hms.harvard.edu/news

AI Predicts Future Pancreatic Cancer hms.harvard.edu/news/ai-predic…

More to come in international open collaboration #CancerRiskNet aka #BianQue << Solve Bo Yuan’s puzzle.

Postdocs: Sander Lab, Systems Biology, Harvard Medical School. Data Science, AI, CompBio. Solve challenging biological problems. (2) Develop large-scale models of cell biology wellcomeleap.org/delta-tissue/ https://bit/ly/CellBox Apply: sander.research (gmail) Subj: postdoc application

Looks like I was able to re-purpose ChatGPT's new function return support to enrich answers about human genes using the most up-to-date HGNC data. This still has too much boilerplate stuff in it but here is the full notebook for the curious: gist.github.com/armish/45ffc4b…

A first step toward designing combo anticipatory vaccines !

The February issue, with a focus on protein engineering, is live nature.com/nbt/volumes/42… Our cover shows the three data types key to machine learning for functional protein design: structure, sequence and labels, from a Review by Notin et al. go.nature.com/49EPi9x

How can we use #GenerativeAI for #ProteinDesign? - check out work from our labs Debora Marks and Yarin nature.com/articles/s4158…

Things get better in science over time with good starting ideas and subsequent hard work. 2016 Evolutionary Couplings for RNA folding. 2025 Comprehensive RNA benchmark and tool comparison for everyone in the biomolecular AI field. Great team work with MarksLab!

Read and think !

Protein design with almost-AI -- evolution does it