Julian Bender

111 Followers
350 Following
273 Posts
Biochemist working with #massspec and Python. Loves coffee AND tea. Plays classical music AND blues/jazz/rock. Supports #opensource AND #digitalrights. Likes travelling AND public transport.
LocationWuerzburg, Germany
Websitejulian-bender.eu
Githubhttps://github.com/aretaon
Excellent.

Something like this was always going to happen and people were right to be wary of #astral:

https://astral.sh/blog/openai

Does Astral's suite of tools have excellent engineering behind them? Yes. But Astral was a startup company and the primary mode of operation for most startups is to "exit" by buying acquired by a larger company. This is explicitly a style of work that means the rich get richer, with a few select people get rich along the way.

These are not tools of democratization.

Astral to join OpenAI

Astral has entered into an agreement to join OpenAI as part of the Codex team.

The mystery of the fossilised keyboard 📽️
@Guillawme And as most drunks it is super confident it what it’s doing 😅
Interesting protein though…

@bovaz @lawprofblawg They are trying:
https://www.biorxiv.org/content/10.1101/2025.08.01.668204v1.full.pdf+html

It’s great to automate this, the reason we need LLMs for multidimensional optimisation when we have several numerical approaches for this is still unclear to me though.

Design-driven optimization of low-cost reagent formulations for reproducible and high-yielding cell-free gene expression

Access to recombinant proteins is vital in basic science and biotechnology research. Cell-free gene expression systems provide one approach to address this need, but widespread utilization remains limited by the cost, complexity, and inconsistency of current platforms. To address these limitations, we carry out a multi-dimensional definitive screening design to reduce the number of reagent components and remove costly secondary energy substrates. From more than 1,200 reagent formulations, we discover a simple and reproducible system based on 12 components. The optimized reagent formulation can produce 2.4 ± 0.3 g/L of protein product at the 15-μL scale (∼$55/gprotein) and 3.7 ± 0.2 g/L (∼$36/gprotein) at the 4-mL scale with oxygen supplementation. This provides an 84 to 99% reduction in cost over previous cell-free reagent formulations. We further show that the optimized reagent formulation can produce nucleoside triphosphates from nucleotides and ribose and that it is robust to failure across batches of cell lysates, users/locations, and in the synthesis of different proteins. Specifically, we demonstrate the production of fifteen therapeutically relevant products, including full-length aglycosylated monoclonal antibodies. We anticipate that our optimized reagent formulation will further democratize the use of cell-free systems for protein manufacturing and synthetic biology applications. ### Competing Interest Statement MLO and MCJ have filed an invention disclosure based on the work presented. MCJ has a financial interest in SwiftScale Biologics, Gauntlet Bio, Pearl Bio, Inc., Synolo Therapeutics and Stemloop Inc. MCJ's interests are reviewed and managed by Stanford University in accordance with their competing interest policies. National Science Foundation, CBET - 2341123, DGE-1842165, 2021900 DARPA, W911NF-23-2-0039 Department of Energy, DE-SC0023278

bioRxiv
If you're looking for a map & navigation app on your Linux Desktop: You can now also find CoMaps on Flathub! https://flathub.org/apps/app.comaps.comaps

I felt that Microsoft Copilot, formerly known as Office, could use a mascot. So I asked Copilot to design something in the spirit of Clippy.

Let me introduce you to Sloppy, a cheerful slightly gooey assistant with glasses and a headset.

#Microslop

Ihr macht beim #DID mit und sucht noch nach einem sympathischen und stabilen Hoster, bei dem Ihr eure Dienste oder Mail selber hosten könnt? Euch aber nicht um allen Kleinkram selber kümmern müsst. Dann guckt doch mal bei uns vorbei!

Wir haben auch eine große Liste mit tollen Open Source Tools für fast jeden Bedarf inkl. Installationsanleitung: https://lab.uberspace.de/

#diday #DigitalIndependenceDay

⚛️ Uberlab — UberLab 7 documentation

I suggest you support Standard Ebooks 📚

“Standard Ebooks is a volunteer-driven project that produces new editions of public domain ebooks that are lovingly formatted, open source, free of … copyright restrictions, and free of cost.” ⚖️

See what’s free to read on January 1 👇
https://standardebooks.org/blog/public-domain-day-2026

Please boost 🙏

#StandardEbooks #PublicDomain #PublicDomainDay #Copyright #Ebooks #OpenSource #FreeSoftware #Python

CC @standardebooks

Der Cyber schläft nie. Er root.