Bio structure annotation

Structure prediction and structure-based annotation.From its SKILL.md

Install

npx -y skills add BioTender-max/awesome-bio-agent-skills --skill bio-structure-annotation

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Structure prediction and structure-based annotation.

Run a fast embedding screen with TM-Vec to triage candidate proteins by remote homology before incurring structure-prediction cost.
Predict structures on a GPU node. AlphaFold3 is intentionally not part of this stack (non-commercial license, large VRAM footprint, no clear quality gap for the workflows in this repo). Use:
- Boltz-2 (MIT license; CUDA; NVIDIA cuEquivariance kernels) as the default predictor — joint structure-and-affinity, ~1000× faster than FEP for binding-affinity estimation, comparable accuracy to AF3 on benchmarked complexes.
- ColabFold v1.5.5+ with an MMseqs2-GPU MSA backend when a wider MSA than Boltz-2 builds is required (≈31.8× faster MSA generation versus the standard AF2 pipeline; Nature Protocols 2025, DOI: 10.1038/s41596-024-01060-5).
- ESMFold for fast monomer pre-screening only (15–20 GB VRAM; lower accuracy than Boltz-2).
Search predicted or experimental structures with Foldseek v9+. Use --gpu 1 on CUDA Turing or newer for the ProstT5-backed search (4–27× speedup). Consider Foldseek-Multimer when complex-vs-complex search is needed.
Annotate hits and route high-value unknowns back to /bio-annotation for sequence-side context, or to comparative analyses via /bio-protein-clustering-pangenome.

Task	Action
Run workflow	Follow the steps in this skill and capture outputs.
Validate inputs	Confirm required inputs and reference data exist.
Review outputs	Inspect reports and QC gates before proceeding.
Tool docs	See `docs/README.md`.

Prerequisites:

Tools available in the active environment (Pixi/conda/system). See docs/README.md for expected tools.
Reference DB root: set BIO_DB_ROOT (default /media/shared-expansion/db/ on WSU).
Protein FASTA inputs are available. Inputs:
proteins.faa (FASTA protein sequences)

Prediction success rate meets project thresholds.
Search hit thresholds meet project thresholds.
On failure: retry with alternative parameters; if still failing, record in report and exit non-zero.
Verify proteins.faa is non-empty and amino acid encoded.
Verify Foldseek databases exist under the reference root.

proteins.faa (FASTA protein sequences)

Issue: Missing inputs or reference databases Solution: Verify paths and permissions before running the workflow.

Issue: Low-quality results or failed QC gates Solution: Review reports, adjust parameters, and re-run the affected step.

28.7 KB alongside SKILL.md