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This company is included in Intelligence Lab

Menten AI

Menten AI logo

Website
https://menten.ai/
Founded
2018

Technologies

AI Companies (Drug Discovery) Quantum Theory in Drug Discovery

Menten is a biotech startup developing a software platform for protein design empowered by machine learning and quantum computing. Menten’s quantum approach aims to overcome the scalability challenges that limit classical methods in computational protein design to significantly improve accuracy and reduce development time. Menten’s goal is to create the computational tools required to deliver on the promise of protein-based medicine and biocatalysis.

quantum computing protein design


Articles Mentioning This Company

14 Companies Using Quantum Theory For Drug Discovery (Including 2 Going Public)

14 Companies Using Quantum Theory To Accelerate Drug Discovery (Including 2 Going Public)

Feb. 24, 2024     Articles
(Updated: 24.02.2024) Molecular mechanics (MM) is a traditional computational approach when it comes to modeling in synthetic organic chemistry, medicinal chemistry, and versatile aspects of drug design. However, MM methods have significant limitations, for example, when used to study electron-based properties within the drug-receptor microenvironment. Quantum mechanical (QM) methods allow …

[Interview] This Company Brings Quantum Tech Into Protein Design

Jan. 22, 2021     Interviews
With several decades of advances in quantum theory and simultaneous progress in a number of software and hardware fields, we are finally entering the era of quantum computers becoming a practically viable thing.  Since the 1990s, huge processing and efficiency-saving promises of quantum computers have stimulated constant research efforts by …

R&D Platform

By taking a hybrid quantum-classical computing approach using D-Wave’s 2000Q quantum system, Menten hopes to be able to significantly reduce the cost and time required to engineer proteins for drug design, as well as overcome the scalability challenges that limit classical approaches. The hybrid approach has already resulted in better solutions, faster

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