We teach AI machines protein physics, so that they can reason with protein data just like human researchers do, and design experimentally testable hypotheses. We combine computational biophysics, non-linear modeling, statistical approaches to structural protein biochemistry and progressive AI to explore combinatorial mutagenesis landscapes of any protein, irrespective of its class and application. Our autonomous AI redesigns large fragments of non-variable antibody regions to improve their solubility and aggregation properties. Our computational approaches combine the knowledge of folded and non-canonical state to propose the most feasible improvements, which mitigate self-aggregation. We have developed scalable and convergent proprietary evolutionary approaches to Deep Learning architecture design, which seamlessly blend with existing protein biophysics. Through hybrid biophysics — AI deployments, we mitigate the biggest limitation of Machine Learning in structural biochemistry — insufficient experimental data.
B2B
1 to 25
Seed
$350,000
Scaling Up
2016
Biotechnology
Discovery of Novel Therapeutics
Increase Productivity
Analytics
Production
Service
Yes
Active
Machine Learning
Natural Language Processing
Knowledge Representation and Reasoning
Software
May 2022
- Peptone Apened an Advanced Experimental Biophysics Laboratory in Bellinzona
5
1
$40M
Company was founded 2016 and it took almost 6 years (Jun 2022) to raise first external round
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