A Nextflow pipeline for protein binder design
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Updated
May 12, 2026 - Python
A Nextflow pipeline for protein binder design
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.
Protein binder design GUI
LigandMPNN but with dynamic constraints. This allows the biases applied during inference to adjust to a desired goal during the generation process. Current implementations are for pI targeting and surface patch generation
Open hotspot-guided de novo protein binder design pipeline integrating OpenMM, BindCraft, ProteinMPNN, and AlphaFold2.
Retraining of ProteinMPNN model specifically with acid-stable structures and sequences
RNA-seq counts to ranked de novo protein binder candidates, with full provenance back to the patient cohort.
Optimized ProteinMPNN for Apple Silicon: 15× speedup with 0% accuracy loss through architecture pruning, batching, and ANE acceleration. Comprehensive benchmarking study of speed-accuracy trade-offs.
Protein binder mutagenesis GUI
Molecular dynamic simulation of RFdiffusion/ProteinMPNN designed HMERF mutated titin Ig152/Fn3-119 domain protein binder
Computational pipeline for measuring protein interior reprogrammability. Identifies chassis candidates where exterior fold is preserved while interior chemistry varies.
🧬 Lectures for course ML-protein-design
Personalized lymphoma therapy design with Gemma 4, AlphaFold, RFdiffusion. Kaggle Gemma 4 Good Hackathon submission.
De novo protein binder design pipeline: motif-scaffolded RFdiffusion + ProteinMPNN + AlphaFold2 self-consistency validation. PD-L1 reference example.
Iterative AlphaFold-Guided Nanobody Design for Lateral Flow Immunoassays
Empirical dual-use risk assessment of protein language models (ESM-2) and structure-based design tools (ProteinMPNN)
Manage protein design processes
Universal Peptide Drug Discovery — AI-driven cyclic peptide design pipeline with ncAA integration
🧬 Experiments and setup of RFdiffusion/ProteinMPNN running on macOS Apple Silicon (CPU).
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