BoltzGen: Toward Universal Binder Design
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Updated
May 28, 2026 - Jupyter Notebook
BoltzGen: Toward Universal Binder Design
Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)
Codes for our paper "UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design" (ICML 2025)
Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model"
Repo creating different formats of the monomer database formats for Zenodo archiving
A modular, extensible peptide design pipeline with target preparation, backbone generation, sequence design, scoring, and ranking. Full local CPU pipeline, and backend hooks for RFpeptides, ProteinMPNN/LigandMPNN, and ColabFold.
The public repository for the CyclicCAE conformational autoencoder. CyclicCAE encodes peptide macrocycle conformations in a low-dimensional latent space, useful for rapid sampling, structural refinement, or denoising.
Archived research prototype for immunogenic peptide design and docking.
Authoritative source data and release tooling for the peptide monomer database
De novo therapeutic peptide design pipeline using RFdiffusion and ESMFold to hallucinate NaV1.7 pain-channel blockers locally on CPU
Source code for Targeting SARS-CoV-2 Receptor Binding Domain and Main Protease with D-peptides
In silico evolution of antimicrobial peptides: ESM3 folding, MACREL activity scoring and PFES structural terms, with a three-origin by two-objective ablation.
Evaluation other methods for macrocyclic design
A Claude Code Skill for de novo D-peptide inhibitor design using the Boltz2 IC₅₀ prediction pipeline
AI pipeline that designs novel antimicrobial peptides and screens them for activity, potency, safety, and novelty into a ranked shortlist. In-silico, free compute, honest about uncertainty — predictions, not proof.
AI-Driven De Novo Peptide Generator. Designing novel, highly diverse amino acid sequences for targeted biomedical applications.
A design framework for programmable genome engineering. Useful for designing peptide linkers that connect Transcription Activator-Like Effector (TALE) DNA-binding arrays to catalytic effector domains.
Universal Peptide Drug Discovery — AI-driven cyclic peptide design pipeline with ncAA integration
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