Design protein sequences from structures with ProteinMPNN
Run ProteinMPNN on example protein backbones, generate sequences, and explore fixed residues, chain selection and symmetry constraints.
Step-by-step guides on prompting, workflows, and integrations — written by us or contributed by the community. Click any tutorial to read the full walkthrough. You can also submit your own or a link to a useful one.
Run ProteinMPNN on example protein backbones, generate sequences, and explore fixed residues, chain selection and symmetry constraints.
Follow a Python workflow to jointly model RNA and surface-protein measurements from CITE-seq data with totalVI, then explore latent representations and differential expression.
Train a molecular graph GAN on Tox21 compounds, generate molecular structures, and filter and visualize the results with RDKit.
Use ESM-2 to score protein sequence variants, visualize mutation scores as heatmaps, and process mutation tables with a command-line script.
Learn to load molecular data, train a graph convolutional model, and evaluate solubility predictions with DeepChem.
Use public information to build a briefing on a company, draft the technical questions worth asking, and set up a note structure — with a verification step before you walk into the room.
Turn a technical abstract into a briefing your business development, investor relations, or patient-facing colleagues can actually use — with a jargon-swap table and a check that nothing got stronger in translation.
Describe a result in plain words and have AI draft a caption that states the method, the sample size and what the figure shows — plus a three-sentence narrative for the slide, with guardrails against overstating the effect.
Turn two public vendor datasheets into a side-by-side comparison table — host, clonality, validated applications, species reactivity, citations — with a verification pass before you order anything.
A beginner guide to picking between PubMed, UniProt, NCBI Gene, GEO, ChEMBL/PubChem and ClinicalTrials.gov — and using AI to turn a plain-English question into the right search terms.
A walkthrough for using Microsoft Copilot in Excel to plot, summarize, statistically compare, and do simple predictive modeling on lab or fermentation datasets — all with plain-English prompts.
A practical, non-legal starter guide for using AI tools at a bio company without leaking IP, PHI, or unpublished data.
What would you like to see a step-by-step guide on? We commission and co-author the most requested topics with practitioners.