bindcraft

Run BindCraft binder design pipelines inside Docker with configurable algorithms.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/yjcyxky/biominer-skills --skill bindcraft-yjcyxky
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bindcraft
Source: https://github.com/yjcyxky/biominer-skills/tree/main/bindcraft
Command: npx skills add https://github.com/yjcyxky/biominer-skills --skill bindcraft-yjcyxky

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables running BindCraft as a Docker-based binder-design pipeline, simplifying complex setup and enabling reproducible binder-design workflows.

Core Features & Use Cases

  • Docker-based deployment: Run the full BindCraft pipeline inside a container with supported architectures.
  • End-to-end binder design: Performs AlphaFold2 backpropagation, ProteinMPNN redesign, AF2 re-prediction, PyRosetta scoring, and trajectory-based filtering and ranking.
  • Configurable targets and algorithms: Supports multiple design algorithms (2stage, 3stage, 4stage, greedy, mcmc) and target/advanced/filter JSON configurations.

Quick Start

Use this skill to run the BindCraft Docker image: ghcr.io/open-prophetdb/bindcraft:arm64-blackwell with your target JSON and settings.

Frequently Asked Questions about bindcraft

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run de novo binder design inside Docker?

Run de novo binder design inside Docker by using the BindCraft pipeline image, which automates AlphaFold2 backpropagation, ProteinMPNN redesign, and PyRosetta scoring within a containerized Linux environment.

What trajectory algorithms are available for binder design?

Available binder design trajectory algorithms include 2stage, 3stage, 4stage, greedy, and mcmc, which drive the AlphaFold2 backpropagation and ProteinMPNN redesign workflow stages.

Can I use custom target and filter JSON configurations with the binder design pipeline?

Yes, the binder design pipeline supports custom target, advanced, and filter JSON configurations to define design parameters and trajectory filtering rules.

Does the BindCraft Docker pipeline support multimer and PTM modes?

Yes, the BindCraft Docker pipeline supports switching between multimer and PTM modes for AlphaFold2 predictions during the binder design workflow.

What Docker image is required for this AlphaFold2 and ProteinMPNN pipeline?

The required Docker image is ghcr.io/open-prophetdb/bindcraft:arm64-blackwell, which packages the AlphaFold2 and ProteinMPNN dependencies for the binder design pipeline.

How does the pipeline handle binder acceptance and rejection?

The pipeline handles binder acceptance and rejection through automated workflows that apply trajectory-based filtering and PyRosetta scoring to rank final designs.