
MODELLER
The Industry Standard for Protein Comparative Modeling and Structural Bio-Refinement.

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.
Peptone represents a paradigm shift in biopharmaceutical research, specifically focusing on the 'dark matter' of the proteome: Intrinsically Disordered Proteins (IDPs).
Explore all tools that specialize in model protein structures. This domain focus ensures Peptone delivers optimized results for this specific requirement.
Explore all tools that specialize in epitope mapping. This domain focus ensures Peptone delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze protein structures and functions. This domain focus ensures Peptone delivers optimized results for this specific requirement.
Uses stochastic modeling and ensemble theory to represent proteins that do not fold into a single stable structure.
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.
Initial therapeutic target identification and feasibility assessment.
Provisioning of secure cloud environment for proprietary sequence data.
Integration of internal Mass Spectrometry (MS) data into the Peptone OS.
Selection of generative model architectures for specific protein classes.
Execution of physics-based simulations on Cambridge-1 supercomputer nodes.
Analysis of IDP ensemble states and binding pocket identification.
Candidate sequence generation using generative adversarial networks.
In silico validation of solubility, stability, and immunogenicity.
Selection of top-tier candidates for wet-lab synthesis and validation.
Feedback loop integration where experimental results refine the ML models.
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"Extremely high regard among pharmaceutical research leads for its unique focus on disordered proteins where other platforms fail."
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The Industry Standard for Protein Comparative Modeling and Structural Bio-Refinement.

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Accelerating protein-based drug discovery through an autonomous, closed-loop robotic platform.

AI-driven de novo drug design and automated retrosynthesis for accelerated medicinal chemistry.

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.
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