~180 lines of code to win the in silico portion of the Adaptyv Nipah binding competition

Here's the script we used to get 1st place in the in silico portion of the Adaptyv Nipah competition: import modal def download_boltz2(): from mosaic.models.boltz2 import Boltz2 Boltz2() ### Build modal image: install mosaic + deps and download boltz2 model. image = ( modal.Image.debian_slim(python_version="3.12"

~180 lines of code to win the in silico portion of the Adaptyv Nipah binding competition Nick Boyd , Sam Guns - 08 Jan, 2026 Here's the script we used to get 1st place in the in silico portion of the Adaptyv Nipah competition: import modal def download_boltz2(): from mosaic.models.boltz2 import Boltz2 Boltz2() ### Build modal image: install mosaic + deps and download boltz2 model. image = ( modal.Image.debian_slim(python_version="3.12") .apt_install("git") .run_commands("git clone https://github.com/escalante-bio/mosaic.git") .workdir("mosaic") .run_commands("uv pip install --system -r pyproje

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• Dhruv Gautam

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