By 2021, the structure of around 200,000 proteins had been experimentally predicted by scientists.
Now, with tools including DeepMind’s AI model, AlphaFold, AI-predicted protein structures now number more than 200 million.
Effortlessly handling complexity, Proasis streamlines, accelerates and simplifies collaboration for biologics discovery.

The biologics market is experiencing unprecedented growth, and therapeutic molecules are growing in size and complexity.
Traditional biologics tools are struggling to efficiently harness the vast structural and sequence data required to enable
effective antibody discovery.
Proasis bridges this gap, turning complex structural data into confident, data-driven decisions for large molecules.
Its adaptive, scalable architecture allows it to support a range of projects, from focused drug discovery to extensive research initiatives.
Despite its powerful capabilities, Proasis is priced accessibly with unlimited user access. By integrating seamlessly into existing workflows, Proasis saves time, reduces team sizes, and accelerates discovery timelines.




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