LabGenius
Accelerating protein-based drug discovery through an autonomous, closed-loop robotic platform.
The Protein Engineering Operating System for targeting the undruggable proteome.
Peptone represents a paradigm shift in biopharmaceutical research, specifically focusing on the 'dark matter' of the proteome: Intrinsically Disordered Proteins (IDPs). Unlike traditional structural biology tools that rely on static protein structures, Peptone’s 'Protein Engineering Operating System' utilizes a physics-informed AI architecture. By integrating high-resolution experimental data from Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS) with generative machine learning models, the platform can predict the behavior of proteins that lack a fixed 3D shape. In the 2026 market, Peptone positions itself as the premier solution for pharmaceutical companies looking to develop therapeutics for previously 'undruggable' targets in oncology, neurodegeneration, and inflammatory diseases. Their partnership with NVIDIA and access to the Cambridge-1 supercomputer allows for massive-scale molecular dynamic simulations, bridging the gap between computational prediction and clinical reality. The platform doesn't just suggest sequences; it models the thermodynamic ensemble of protein states to ensure stability and binding affinity in physiological conditions.
Uses stochastic modeling and ensemble theory to represent proteins that do not fold into a single stable structure.
Accelerating protein-based drug discovery through an autonomous, closed-loop robotic platform.
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.
Accelerating drug discovery through an end-to-end generative AI pipeline for target identification, molecular design, and clinical trial prediction.
Engineering biology at scale to discover and develop next-generation therapeutics.
Verified feedback from the global deployment network.
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ML models constrained by physical laws of thermodynamics and atomic force fields.
Direct integration with the UK's most powerful AI supercomputer for high-fidelity molecular dynamics.
Direct ingestion of Hydrogen-Deuterium Exchange Mass Spectrometry data to refine computational predictions.
Simultaneously optimizes for binding affinity, solubility, and manufacturing feasibility.
Identifies transient binding pockets in disordered regions that only appear during specific conformational shifts.
Customized energy functions optimized for IDP-solvent interactions.
Modeling the aggregation of Alpha-synuclein or Tau proteins which are highly disordered.
Registry Updated:2/7/2026
Designing high-affinity antibodies for highly flexible tumor-associated antigens.
Improving the thermal stability of industrial enzymes without losing catalytic activity.