Where AI meets scalable, reliable drug development.
Better than carbon-based organisms, our silicon-based machines can generate molecules that mimic the results of billions of years of evolution.
We’re looking to harness this capability in drug discovery.
Turning bytes into proteins into life-saving drugs.
At Silico Biosciences, we’re specializing in building AI models that make a difference biologically.
From AI-augmented drug design to synthetic -omics data generation, we’re creating a new frontier in silico.
Antibody Language Models:
peleke-1: A Suite of Protein Language Models for Targeted Antibody Sequence Generation
AI-Guided Antibody Design.
Antibody Diffusion Model:
kūkulu: Diffusion-Based Reconstruction of Antibody CDR Loops with JEPA
Our Research.
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PD-1 Targeted Antibody Discovery Using AI Protein Diffusion
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Human cytokine and coronavirus nucleocapsid protein interactivity using large-scale virtual screens
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Large-scale computational modelling of H5 influenza variants against HA1-neutralising antibodies
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AI-based antibody design targeting recent H5N1 avian influenza strains
Interested in Learning More?
We’ll be looking for guinea pigs beta testers soon.