EDAPINENUT/ppflow

This repository is the official code source of PPFlow: Target-Aware Peptide Design with Torsional Flow Matching (ICML2024)

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Emerging

This project helps biological researchers and drug discovery scientists design novel peptide sequences that can bind effectively to specific target proteins. By providing a target protein's structure as input, it generates new peptide sequences and their optimal 3D conformations, which can then be evaluated for binding affinity and stability. This tool is ideal for accelerating the initial stages of drug discovery or therapeutic development, where identifying potent and selective binders is crucial.

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Use this if you need to computationally generate and screen potential peptide therapeutics or research tools that bind to a specific protein target, reducing the need for extensive wet-lab experimentation.

Not ideal if you primarily need to analyze existing protein-peptide interactions without generating new peptide designs or if you lack computational resources for model training and simulation.

peptide-design drug-discovery protein-engineering computational-biology molecular-docking
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 15 / 25

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Language

Python

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Last pushed

May 17, 2025

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