AI Platform

Systematically Mapping a New Universe of Chemical Space

A New Frontier of Scalable, Rational Design

Our AI platform, Nautilus™, is enabling in silico predictive peptide design across diverse targets to efficiently access new functional chemical space and produce therapeutics with drug-like properties.

AI + Human Peptide Engineering

We brought together – and are qualitatively advancing – technologies to make scalable peptide drug design a reality.

  • Our novel, proprietary AI algorithms drive intelligent navigation of otherwise unexplored and inaccessible peptide chemical space to find new peptides with a desired set of properties.
  • Our purpose-built supercomputer and cutting-edge AI engine execute the algorithms far faster than otherwise possible, maximizing the accuracy of our models and, thereby, the quality of our hits.
  • Innovations we’re bringing to the lab are enabling rapid, cost-effective, scalable peptide synthesis coupled with rich data collection, to allow continual improvement over time.

This confluence is making possible a transformation in the very way that we do drug discovery, and enabling a move to AI-enabled design. Multiparameter optimization allows us to engineer a spectrum of properties into designed peptides, which radically focuses our search and accelerates our time to discovery.

Drug Design and Development of the Future

Building a peptide design platform that goes beyond merely finding hits: It improves the entire discovery process.

  • NOVEL AI ALGORITHMS

    Harmonized public and proprietary data spanning chemistry, biology and pharmacology​

    Generative AI models learn functional and phenotypic representations to create peptides in novel chemical space

    Predictive AI models perform multiparameter optimization for in silico screening and ranking of generated sequences​

  • PURPOSE-BUILT SUPER-
    COMPUTING

    Custom-designed, scalable on-prem HPC accelerates and integrates data, AI, simulation and analytics​

    Flexibly incorporate emerging technologies; higher performance at lower cost than public clouds

    Strategic partnership with Cerebras Systems: optimize advanced deep learning algorithms to speed design cycle by potentially reducing training time up to 1000x

  • PEPTIDE R&D

    Built custom-designed peptide synthesizer to enable ​design-scale synthesis

    Generating AI-quality ADME and pharmacology peptide datasets

    Identifying and incorporating new developments to improve data generation

Optimized Peptides

Diverse targets & Datasets

  • Extensible to all disease areas
  • Integrates data on indications, manufacturing, IP, etc. – not only sequence and structure data
  • Unlocks clinically validated, novel and challenging, previously undruggable targets

Peptide Design & Optimization

  • Generalizable to arbitrary peptides: linear, cyclic, nonstandard amino acids
  • Multiparameter optimization of physicochemical and pharmaceutical properties
  • Efficient exploration of peptide design space, surpassing mere libraries of hits

Synthesis & Validation

  • Efficient synthesis of optimized, ranked hits
  • Physiochemistry, pharmacology, pharmacokinetics, safety
  • Consistent, rich data collections further enhances AI-driven peptide design & optimization

INSPIRING OUR PLATFORM

Our lead program, PLG0206, was designed to create better outcomes in a challenging peptide drug class. For more information on our programs in development, please visit our Pipeline.

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