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Polaris Quantum Biotech

Polaris Quantum Biotech logo

Website
http://www.polarisqb.com
Founded
2020

Technologies

AI Companies (Drug Discovery) Quantum Theory in Drug Discovery

POLARISqb will revolutionize drug design by joining Quantum Computing with AI and Precision Medicine. Our platform will produce up to 100 drug blueprints per year. We will compress the lead time for preclinical drug candidates from 5 years to 4 months, enabling real time adaptability to the precision medicine market. POLARISqb will own an IP portfolio of drug assets to license, sell, or develop internally.

women's diseases quantum computing


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 …

From Qubits to Cures: The Promise of Quantum Computing in Pharmaceutical Research and Development (a Realistic View)

April 27, 2023     Articles
In a recent announcement, Moderna and IBM unveiled their partnership aimed at utilizing cutting-edge technologies, such as artificial intelligence (AI) and quantum computing, to accelerate research in messenger RNA (mRNA) therapeutics and vaccines. This collaboration highlights the growing interest in the potential of quantum computing within the life sciences sector.

R&D Platform

We have built the first ever drug discovery platform using a quantum computer, making the discovery process ten times faster. Our platform and technology allow us to scan billions of molecules from a large chemical space, while keeping costs efficient. Without the need for multiple optimization cycles, we find the same (or better) molecules faster utilizing Quantum Computing, artificial intelligence, and machine learning.

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