BioLM

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BioLM

BioLM

@biolmai

Founded by AI leaders in tech & biotech. Creating AI in protein engineering as an API-first technology. Leveraging experience for protein eng./ML services.

Katılım Ağustos 2023
52 Takip Edilen6 Takipçiler
BioLM
BioLM@biolmai·
Last week during our BioLM Office Hours we discussed model selection strategies for protein structural prediction workflows. See the recording here: youtu.be/d5_yKA4Qi3Y You can follow our future events at luma.com/biolm
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BioLM
BioLM@biolmai·
Join us for BioLM Office Hours on 12/3/25 at 11:00am PT where we will be discussing what models to use for protein structure predictions, along with step-by-step examples. Follow the link to register: info.biolm.ai/biolm-office-h…
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BioLM
BioLM@biolmai·
Hey Academia, we're offering our BioLM Advanced plan (w/ team workspaces) for free! 🧬 Come sign up to check it out and tell us what you think! info.biolm.ai/academic-progr… 💭We have a community Slack at biolm.ai/community you can drop into.
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BioLM
BioLM@biolmai·
Mostly, we just want your feedback. How should tools like this actually fit into your work? 🧬 Come sign up to check it out and tell us what you think! info.biolm.ai/academic-progr… 💭We have a community Slack at biolm.ai/community you can drop into.
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BioLM
BioLM@biolmai·
Hey Academia: Are you currently using, or interested in using, biological language models for molecular discovery? We just launched the BioLM Academic Program to give researchers free access to our Advanced plan, which includes team workspaces ideal for research labs...
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Julian Englert
Julian Englert@julian_englert·
Today we’re releasing real-world experimental data for over 1000 novel AI-designed proteins on our new platform @proteinbase!
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BioLM
BioLM@biolmai·
At BioLM, we believe TechBio won’t reach its potential until it embraces the same thing that powers the rest of the internet: APIs. Why is biotech still missing them and what would an API-first ecosystem unlock? 📝 Read our blog: blog.biolm.ai/techbios-blind… #SyntheticBiology
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BioLM
BioLM@biolmai·
Our classifier is trained on over 200K wildtype<>variant pairs in order to classify a variant as increasing or decreasing in Tm. Achieving 70%+ accuracy on validation.
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