Changelog
Follow up on the latest improvements andย updates.
RSS
new
models
๐ท New Model Release: DIAMOND
Weโve added
DIAMOND
, a fast and efficient protein structure search model built for large-scale discovery workflows. DIAMOND enables high-throughput structural comparisons with strong accuracy, making it well-suited for iterative design loops and database-scale similarity search.Highlights
- Ultra-fast structural search at scale
- Designed for proteome- and library-level comparisons
- Initial database includes USPTO, with more to come!
- Use it to screen designed molecules to make sure they're not patented already.
Check it out here: https://biolm.ai/models/diamond/

new
models
๐ง New Model Releases
We've expanded our model collection with three additions focused on protein stability and molecular interaction modeling.
๐ TemBERTure GitHub โ
Predicts
protein thermostability class
and melting temperature (Tm)
using sequence data from thermophilic and non-thermophilic organisms.๐ SPURS GitHub โ
Predicts
ฮฮG stability changes
from mutations and helps identify functionally important protein sites
.โก Boltz-2 GitHub โ
Predicts
3D proteinโligand structures
and binding affinities
, enabling fast, large-scale molecular screening.---
All three models are now available
to use within the platform.new
console
protocols
๐งฌ Introducing Protocols: Reproducible AI Workflows for Molecular Design
Protocols
are reproducible, end-to-end workflows that define how BioLM models and tools work together to achieve a design goal. Think of them as experiment blueprints
: structured, versioned, and repeatable.Whatโs New
- ๐งช Protocols Tab:A new home in Console for running and managing your workflows.
- ๐ก Built-In Protocols:Start withAntiFold Design Antibodies, an end-to-end pipeline for generating and scoring antibody variants.
- โ๏ธ Custom Protocols:Define your own protocol logic using a simple YAML schema โ including input parameters, batch limits, and Pub/Sub configuration.
- ๐ Interactive Results:Each run produces a detailed dashboard showing folding stages, RMSD calculations, ranked variant scores, etc.
- ๐ Versioned & Shareable:Duplicate, modify, and rerun protocols using GitHub for consistent, reproducible design studies.
Why It Matters
Protocols make it easy to
codify best practices
in your molecular design workflow โ reducing manual setup, improving traceability, and helping teams standardize complex AI-driven experiments.Try It Now
Go to
Console โ Protocols
to explore the built-in AntiFold Design Antibodies
workflow or upload your own YAML blueprint to create a new one.Run a Protocol or learn more in our help docs.
๐ New models are live on BioLM!
Weโve just released TEMPRO-3B and TEMPRO-650M models.
- TEMPRO-3B: ~3B params, high accuracy for complex tasks
- TEMPRO-650M: ~650M params, lightweight & fast
Both are available now via the API and Playground. Give them a spin and let us know your feedback! ๐
new
console
๐ New Feature: Team Workspaces
Weโre excited to announce that
Team Workspaces
are now available on BioLM for Advanced
and Premium
plans! ๐ With Team Workspaces, you can:
- Keep your Personal Workspacefor individual projects ๐งโ๐ป
- Join shared Team Workspaceswith their own billing and resources ๐ค
- Organize projects inside each workspace with multiple Environments(for notebooks, volumes, protocols, and more) ๐
- Collaborate seamlessly with colleagues in the same workspace ๐
๐ก
Premium users
: our team can now directly collaborate with you inside your workspace โ co-authoring notebooks, refining protocols, and prototyping new models alongside you. ๐ Try switching between your
Personal Workspace
and a new Team Workspace
from the dropdown in the top navigation bar. This is just the beginning โ Team Workspaces lay the foundation for deeper collaboration and resource management across BioLM.
Weโd love your feedback! Drop your thoughts in the ๐ฌ feedback board or in our Slack community.
new
console
New Feature Release โ Volumes
Weโre excited to introduce ๐
Volumes
โ persistent storage you can now attach to your ๐ Jupyter sessions.With Volumes you can:
- ๐พ Save notebooks, data, and outputs across sessions
- ๐ Re-attach the same storage to multiple sessions
- ๐๏ธ Keep everything organized in one place
And the best part? ๐
Volumes are completely free!
Give it a try in your next Jupyter session โ and let us know what you think.