BoltzGen: Toward Universal Binder Design
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Updated
May 1, 2026 - Jupyter Notebook
BoltzGen: Toward Universal Binder Design
The Rosetta Bio-macromolecule modeling package. Available through license with the University of Washington.
Improved antibody structure-based design using inverse folding
This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"
This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.
Codes for our paper "UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design" (ICML 2025)
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
This is the official repository of paper - GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation (ICML2024)
An antibody-specific language model focusing on NGL prediction
structural antibody parser and database
A Collection of Platform, Tools, and Resources for Antibody Engineering
Protein design with infilling language models and reinforcement learning — for antibodies and beyond.
Associated code/pipeline for the publication "AI-assisted protein design to rapidly convert antibody sequences to intrabodies targeting diverse peptides and histone modifications"
Propose CDR single-point mutations that rescue antibody expression without disrupting antigen binding, using bound vs. unbound ProteinMPNN logit analysis.
The official implementation of "Improving Antibody Humanness Prediction using Patent Data".
Code for ADIOS: Antibody Development via Opponent Shaping
Integer Linear Programming for Protein Library Design
PD-1 Targeted Antibody Discovery Using AI Protein Diffusion
🦋 peleke-1: Protein Language Models for Targeted Antibody Design
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