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Molecular Engine

Drug discovery and biotech · by Menten AI

Physics-based generative AI engine that performs iterative, multi-parameter design cycles to optimize properties such as stability, affinity, and permeability.

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What it does

Physics-based generative AI engine that performs iterative, multi-parameter design cycles to optimize properties such as stability, affinity, and permeability.

  • De novo design of peptide macrocycles
  • Targeting Protein-Protein Interfaces (PPIs)
  • Preclinical drug discovery acceleration
Category
Drug discovery and biotech
Built for
Healthcare and life sciences
Users
Pharmaceutical companies, Biotechnology firms
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Product insights

Evidence for this product in each industry and task.

#6 · design molecular candidatesView ranking →

Documented workflow

“MAUD 1.0’s physics-based generative AI uses the target protein model as input to perform iterative, multi-parameter design cycles that optimize multiple drug-like properties simultaneously, enabling the discovery of potent,…”

Read product documentation
  • MAUD 1.0’s physics-based generative AI uses the target protein model as input to perform iterative, multi-parameter design cycles that optimize multiple drug-like properties simultaneously, enabling the discovery of potent,…
    Read source · menten.ai ↗

Pricing

Pricing not available

We don't have pricing details for Molecular Engine yet. Ask Menten AI for a quote.

Security and compliance

No security details published yet

Menten AI hasn't published certifications or security practices for Molecular Engine that we could find. Ask their team for audit reports.

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