Changelog
Follow up on the latest improvements and updates.
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new
models
📚 New Model: ESM-1b
ESM-1b is now available on BioLM: https://biolm.ai/models/esm1b/
A widely adopted transformer protein LM for high-quality embeddings.

new
models
🧊 New Model: DeepViscosity
DeepViscosity is now available on BioLM: https://biolm.ai/models/deepviscosity/
Predict antibody viscosity profiles using paired heavy/light chains.

new
models
🧠 New Model: DSM-150M Base
DSM-150M Base is now available on BioLM: https://biolm.ai/models/dsm-150m-base/
A compact, efficient protein embedding model suitable for fast inference.

new
models
🧠 New Model: DSM-650M Base
DSM-650M Base is now available on BioLM: https://biolm.ai/models/dsm-650m-base/
A high-capacity embedding model for deeper protein sequence representation.

new
models
🔗 New Model: DSM-650M PPI
DSM-650M PPI is now available on BioLM: https://biolm.ai/models/dsm-650m-ppi/
Use this model to estimate interaction likelihood between two protein sequences.

The E1 model family is now available on BioLM:
• E1-150M - https://biolm.ai/models/e1-150m/
• E1-300M - https://biolm.ai/models/e1-300m/
• E1-600M - https://biolm.ai/models/e1-600m/
These transformer-based protein language models provide fast, high-quality sequence embeddings across three capacity levels, enabling tailored performance for different throughput and accuracy needs.

new
models
🔷 New Model Release: DIAMOND
We’ve 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
🧠 New Model Releases
We've expanded our model collection with three additions focused on protein stability and molecular interaction modeling.
🕒 TemBERTure GitHub →
Predicts
protein thermostability class
and melting temperature (Tm)
using sequence data from thermophilic and non-thermophilic organisms.🌍 SPURS GitHub →
Predicts
ΔΔG stability changes
from mutations and helps identify functionally important protein sites
.⚡ Boltz-2 GitHub →
Predicts
3D protein–ligand structures
and binding affinities
, enabling fast, large-scale molecular screening.---
All three models are now available
to use within the platform.new
console
protocols
🧬 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.What’s New
- 🧪 Protocols Tab:A new home in Console for running and managing your workflows.
- 💡 Built-In Protocols:Start withAntiFold Design Antibodies, an end-to-end pipeline for generating and scoring antibody variants.
- ⚙️ Custom Protocols:Define your own protocol logic using a simple YAML schema — including input parameters, batch limits, and Pub/Sub configuration.
- 📊 Interactive Results:Each run produces a detailed dashboard showing folding stages, RMSD calculations, ranked variant scores, etc.
- 🔁 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 — reducing manual setup, improving traceability, and helping teams standardize complex AI-driven experiments.Try It Now
Go to
Console → 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.
🚀 New models are live on BioLM!
We’ve 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! 🎉
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