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

blog.escalante.bio · 1,912 words · saved by 1 readers

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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