humatch

What problem does it solve?

This Skill automates the end-to-end processing of antibody sequences by performing alignment, humanness classification, and joint humanisation using Humatch inside a Docker container. It enables single-sequence workflows as well as batch processing via CSV inputs, with configurable germline-likeness constraints and CNN-based targeting for quality humanisation.

Core Features & Use Cases

• CLI-driven workflows: run alignment, classification, and humanisation from the command line inside the Humatch container.
• Flexible sequencing support: process heavy/light chains individually or together, including prealigned 200-position inputs.
• Batch and custom configs: handle CSV inputs and tune behavior with a YAML config for germline-likeness and fixed target positions.
• Use Case: Researchers can align VH/VL, estimate humanness scores, and generate humanised sequences for candidate antibodies in a reproducible Docker environment.

Quick Start

Start the Humatch workflow by running the container image with your data (single pair or CSV) and following the examples in the SKILL description. For example, align a heavy and light chain or run a full classification and humanisation pipeline using the provided CLI.