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Our lab uses experimental and computational methods to design de novo proteins | @Stanford
better medicines, created rapidly through de novo protein design
https://aiproteins.bio
Computational chemist/structural bioinformatician working on improving molecular simulation at MRC Laboratory of Molecular Biology. jgreener64.github.io
Research, news, and commentary from Nature, the international science journal. For daily science news, get Nature Briefing: https://go.nature.com/get-Nature-Briefing
Automated discovery of AI x Bio preprint papers.
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
L’ANR, l’agence française de la recherche sur projets. Opérateur de France 2030.
The French national research agency #ANR #AgenceRecherche #France2030
www.anr.fr
Researcher in computational biology / bioinformatics at @i2bcparissaclay.bsky.social 🇫🇷
Protein-protein, protein-RNA & protein-DNA interactions, structure & evolution
ML & DL
Biology of genome maintenance
Women/diversity in science
Personal account
Lecturer in Engineering Biology at the University of Bristol (UK)
Interested in manipulating cell architecture with protein engineering and design
Interested in Structural Biology, deep learning, NextFlow, HPC, viruses, missense mutations archaea, bacteria, evolution & random quirks of nature. (Protein Cosmos feed 🧶🧬) Leads a research group & Structural biology Facility,UNSW Sydney. Opinions my own.
PhD student at CTU Prague working on machine learning for molecule discovery https://anton-bushuiev.github.io
PhD Student in the Vorobieva Lab in de novo protein design
Founder & CEO @jura.bsky.social | Full-stack probabilistic machine learning for the development of genetic medicines | NYC & Basel & Boston
PhD student🇨🇭 | Interested in whatever linked to evolution, biodiversity, genomics and/or plant-pathogen interactions 🧬 | currently working with 🍄 | loving both wet and dry lab | scientific illustrations/communication 🎨 | 🧗♀️ | She/her
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Research Assistant Professor, National Institute of Chemistry, Baker lab @ UW alumni, MSCA alumni. http://ljubetic-lab.si
🧪 Research Scientist @nvidia and PhD student @Oxford staring at proteins all-day
🧑💻 Website/Blog: https://kdidi.netlify.app/
🤖 GitHub: https://github.com/kierandidi
📚 Prev. Cambridge/Heidelberg
Asst. Prof. Uni Groningen 🇳🇱
Comp & Exp Biochemist, Protein Engineer, 'Would-be designer' (F. Arnold) | SynBio | HT Screens & Selections | Nucleic Acid Enzymes | Biocatalysis | Rstats & Datavis
https://www.fuerstlab.com
https://orcid.org/0000-0001-7720-9