scientific-protein-design

What problem does it solve?

Computational protein design often requires integrating modern protein language models, backbone design, and in silico validation to rapidly explore design spaces and predict stability.

Core Features & Use Cases

• ESM-based sequence analysis and scoring to guide design decisions.
• De novo backbone generation and sequence design using RFdiffusion and ProteinMPNN, followed by in silico validation.
• End-to-end design workflows for binders, scaffolds, and enzymes, with developability assessment and expression considerations.

Quick Start

Design a target protein and run the end-to-end de novo design workflow to generate and evaluate candidate sequences.