Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)
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Updated
Apr 16, 2025 - Python
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)
Automated generation of immunogenic peptides from protein structures and molecular docking analysis using AlphaFold2 and AutodockVina.
GFlowNet-based therapeutic peptide design. Generates diverse, high-quality candidates (5.4x better diversity vs PPO/GRPO) to reduce correlated wet-lab failures. Published method with pre-trained models. Validated on FLIP & Propedia benchmarks.
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.
Source code for Targeting SARS-CoV-2 Receptor Binding Domain and Main Protease with D-peptides
Evaluation other methods for macrocyclic design
Multi-phase peptide ML pipeline for hemolysis prediction, generative design, and closed-loop optimization, built on transformers and modern PyTorch tooling.
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