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Claude Science

claude.com

101–110 of 199 posts

Re: Claude Science

#101
Working on the uniprot services that might be used from the connector it would be nice to learn if this uses public resources or if there is a private anthropic copy of certain uniprot data sets.

Re: Claude Science

#102

Tried this to see how it goes in my particular field - computational design of RNAi-based biopesticides. One-shotted a design for targeting the DvSnf7 transcript of western corn rootworm. It took a fairly naive approach (maybe how a 1st year PhD student would go about it), but got the job done. Also noted caveats with its approach (e.g. using mammalian design rules, limited off-target screening). Not bad really. But…

> Then Opus 4.8's safety system flagged the session.

The jokes write themselves these days.

I suggest collecting 10 seminal works on the subject matter including 10 textbooks in the general field, converting them to plain text via OCR or text extraction, then trying the same thing with a superior agentic harness, like omp.sh

/goal set create biopesticide targeting the DvSnf7 transcript of western corn rootworm

make no mistakes

Re: Claude Science

#103

The most interesting thing here is that Claude Science runs a local server and a web-based UI that connects to that server from your browser. This is very different from Claude Code and Cowork, where the UI is more tightly coupled to the host machine (which makes things like computer use possible). I think I recognize the strategy: most pharma environments connected to interesting data are tightly locked down, to the…

Anecdotally, as someone with a lot of moderately computational sciencey tasks at work (part of my job is as a data analyst for a geology firm that has some interesting sensor data), combining Claude Code and standard python data libraries has been extremely powerful and sped up my workflows immensely. If I just need a quick analysis or visualization, Claude can write something for me in minutes that would take me an hour or so to sort out on my own. I know the relevant libraries well enough to read and verify the code, which is an important distinction from blindly using a black box AI.

I will note that Claude Code and Jupyter in VSCode don't play nicely together right now - it forces me to rerun the whole notebook from the start after every edit Claude makes. This has led to me stepping back from notebooks and having Claude write standalone scripts that I then spend time merging back into a pretty notebook.

Re: Claude Science

#105
post #67
post #16

Big Pharama = Big Budgets. So targeting them with a tailored product is understandable.

pharma is currently in a tailspin and not really spending money. they'd rather outsource everything possible to china or india right now.

Eli Lilly's recently partnered with NVIDIA to spend a lot of money for a new research lab in the Bay Area so not entirely

Re: Claude Science

#106
post #25

The fact that we are coming up on a month of Fable being unavailable with essentially zero actual signal from Anthropic around when it may be back is crazy to me. Yet still we have these random new products coming out?

I mean the company has like 3k employees or more right? Lots of them are just working on more applied AI use cases that don't require frontier AI just the right integrations and structure etc. Opus 4.8/ GPT 5.6 level models with the right workflows/ data/ access are still good enough to do huge amounts of economically valueable work.

This plus it's entirely plausible their employees have access to Fable or their own other pre-released models internally. Other than the perks you mentioned they've got excellent distribution too.

Re: Claude Science

#107

When I saw "Science" I didn't think they meant Data Science , which is what the UIs full of pandas code and plots imply. Even if the focus is on the sciences, I suspect that's the less valuable part of the announcement particularly with the implication of Jupyter Notebook 2.0. Image-understanding for data viz is a use case that has been ignored, and modern LLMs are getting better at proper EDA. But, uh, I may need to…

They do mention things like protein and chemical structure visualization though

Re: Claude Science

#108
post #34

When I saw "Science" I didn't think they meant Data Science , which is what the UIs full of pandas code and plots imply. Even if the focus is on the sciences, I suspect that's the less valuable part of the announcement particularly with the implication of Jupyter Notebook 2.0. Image-understanding for data viz is a use case that has been ignored, and modern LLMs are getting better at proper EDA. But, uh, I may need to…

A lot of the soft and hard sciences use hacky matplotlib code to produce results and visualisation, without being necessarily data science From the bits I've seen, I'd take claude-generated code any time over that written by maths, physics, biology, linguistics people. Even though I've seen Claude make some super-big mistakes while doing data analysis I'd guess it's already more reliable than most academics trying to…

I think presentation via software just isn't a lot of their strong suits. A lot of researchers' personal or research lab sites too are usually way out of date or just really badly presented from what I've seen. They could all do with some thinking about aesthetics and understandability more.

Re: Claude Science

#109
post #44

I built one of the connected tools included in this launch (the Biomni HPC [1]), and I have spent an inordinate amount of my life working on this problem. (I also worked at Anthropic, but not on this product.) As other comments have pointed out, this is for data science – but it's capable of more than making plots and writing papers [2]. It has integrations with many databases and computational tools, including a res…

I'd really like to see much better visualization from Claude Science at some point. Educational-esque, with full threejs + shaders scenes over just these plots and protein/chemical structures. This for a lot of papers in the literature review would be awesome.

Re: Claude Science

#110
post #44

I built one of the connected tools included in this launch (the Biomni HPC [1]), and I have spent an inordinate amount of my life working on this problem. (I also worked at Anthropic, but not on this product.) As other comments have pointed out, this is for data science – but it's capable of more than making plots and writing papers [2]. It has integrations with many databases and computational tools, including a res…

Previously integrated Biomni into our intelligent workspace:

https://blog.codesolvent.com/2025/07/ai-assistant-with-biome...

Happy to chat if intrigued.

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