Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)
-
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.
Rosetta MCP for cyclic peptide design with kic
Source code for Targeting SARS-CoV-2 Receptor Binding Domain and Main Protease with D-peptides
Evaluation other methods for macrocyclic design
CPMP MCP server for cyclic peptide membrane permeability prediction
Cyclic peptide MCP server for cyclic peptide design and analysis
MultiCycGT MCP server for multi-cyclic peptide generation
CyclicCHAMP MCP server for cyclic peptide modeling
PepFlowww MCP server for peptide flow-based design
PharmPApp MCP server for pharmaceutical peptide property prediction
HighFold3 MCP server for peptide structure prediction
Cyclic peptide builder MCP server
HighPlay MCP server for high-throughput peptide library analysis
MultiCycPermea MCP server for cyclic peptide permeability prediction
Multi-phase peptide ML pipeline for hemolysis prediction, generative design, and closed-loop optimization, built on transformers and modern PyTorch tooling.
RFpeptides MCP server for peptide design
Add a description, image, and links to the peptide-design topic page so that developers can more easily learn about it.
To associate your repository with the peptide-design topic, visit your repo's landing page and select "manage topics."