This skill provides comprehensive, step-by-step guidance for planning and executing computational protein design projects, specifically focusing on binder design workflows. It streamlines the integration of industry-standard tools like RFdiffusion, ProteinMPNN, and ColabFold, offering standardized patterns for backbone generation, sequence design, and high-throughput validation. Ideal for researchers and bio-engineers, it includes detailed resource planning, quality control thresholds (pLDDT, ipTM, PAE), and troubleshooting tips to ensure efficient use of GPU compute and high-quality design outputs.
Key Features
01Step-by-step binder design pipeline orchestration
02Standardized quality checkpoints for every design phase
0375 GitHub stars
04Integration guidance for RFdiffusion, BindCraft, and ProteinMPNN
05Structure validation and filtering using AlphaFold/ColabFold metrics
06Compute resource planning and timeline estimations for GPU tasks