We also created Bindsweeper—a new tool to help you identify the optimal binder design parameters for your target protein. Bindsweeper enables the execution of multiple ProteinDJ runs to test different parameter combinations and reports success rates for each permutation. (4/5)

There are multiple ways you can use ProteinDJ for protein design. We have documentation and examples of different protein design applications, including de novo design, fold conditioning, partial diffusion, and motif scaffolding. There are also filters and metrics to help select designs (3/5)

ProteinDJ was designed for large-scale design campaigns and automatically batches designs over GPUs. It is highly portable and easy to install, with software containers for rapid deployment on HPC and workstation environments using Apptainer and Nextflow. github.com/PapenfussLab... (2/5)

I am thrilled to release ProteinDJ: a high-performance and modular protein design pipeline. Our open-source workflow incorporates #RFdiffusion, #ProteinMPNN, #FAMPNN, #AlphaFold2 and #Boltz-2. It is a fast, free, and fun way to design proteins (1/5)
doi.org/10.1101/2025.09.24.678028 #proteindesign

Proud of our students from the Lucet Lab at WEHI who presented their posters at Lorne Proteins 2025. Well done to Dylan Silke, Emily Park, Jean-Max, and Lyn Deng! @jean-maxmazeri.bsky.social @wehi-research.bsky.social #LorneProteins2025 #LucetLab #WEHI