Antibody Design Python Packages

refua-mcp

Model Context Protocol server exposing typed Refua tools for folding, affinity, design, and optional clinical and preclinical workflows.

clawcures

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

antifold

Improved antibody structure-based design using inverse folding

refua

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

refua-clinical

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

refua-data

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

protstruc

Protein structure handling in Python made easy.

refua-deploy

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

refua-regulatory

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

ablanx

JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.

refua-studio

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

refua-bench

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

refua-wetlab

Python drug discovery toolkit for Boltz2 structure and affinity prediction, BoltzGen binder and antibody design, and TxGemma ADMET integration in one API.

protlib-designer

Design diverse, optimized protein libraries with multi-objective integer programming, deep mutational scanning, protein language models, and inverse folding.