Blog

Previously, we discussed how to translate BioLM protocols into Kedro workflows, demonstrating how to move from exploratory notebooks to structured, reproducible pipelines. Bioinformatics workflows often require specialized approaches that handle the unique challenges of biological data processing, cloud execution, and workflow orchestration. Nextflow emerges as a compelling option for BioLM workflows, particularly when you need to process […]

The Notebook as Foundation: Drafting Your First Protocol Notebooks are a very useful way to draft a BioLM protocol the first few times you run through it. They allow for interactive exploration, quick iteration, and the flexibility to experiment as you work through a problem. That’s exactly how our antibody engineering workflow started: as a […]

We’re excited to launch the BioLM Community Slack – a new space where platform users, developers, and partners can connect, collaborate, and share knowledge. Our vision is to make BioLM more than a platform: it’s an ecosystem. Whether you’re exploring molecular design with our tools, building integrations, or just curious about what’s possible, the Community Slack is […]

We contributed several analyses to the Adaptyv EGFR Competition paper released this weekend. Below we share more background on our contribution and perspective of results. Additional authoring by Chance Challacombe, Ahmad Qamar The 2024 Adaptyv EGFR Binder Competition was a landmark event – a field test for the current generation of AI-driven protein design methods. […]

To most people, the term “techbio” simply encompasses using cutting-edge algorithms and data toward biology. But it should be a call to action to adopt successful paradigms from the tech industry into biotech—strategies like “move fast and break things,” modern organizational structures, and most importantly here, the proliferation of APIs that let others programmatically access […]

Dive into the computational demands of bio-sequence LLMs. We emphasize that while pre-training requires the most resources, both fine-tuning and prediction still necessitate significant computational power. Explores cost-effective solutions for accessing powerful GPUs.