QuantumEon

QuADD- A New Subscription-Based Quantum-Aided Drug Design Platform

POLARISqb, a company specializing in drug discovery acceleration through quantum computing, has introduced a new subscription-based platform called Quantum-Aided Drug Design (QuADD). QuADD utilizes Quantum Annealing computers to rapidly identify optimized candidate molecules for specific drug targets. By transforming the library-building problem into an optimization challenge solvable by quantum computing, QuADD can generate highly diverse and customized libraries of molecules in just a few days. This innovative approach enables the exploration of a vast theoretical chemical space of drug-like molecules, providing insights into optimal properties such as solubility, toxicity, and more. POLARISqb’s QuADD platform is the first of its kind in the industry, offering drug discovery teams in biotech and pharmaceutical companies the opportunity to leverage quantum computing for faster and more efficient drug development.

 

QuADD focuses on identifying novel, bioavailable, and synthesizable lead compounds from a staggering library of 1030 structures within 1-3 days. Customers provide the structure of the protein binding pocket and ligand as input, and QuADD generates an enriched library of 1,000 to 10,000 molecules tailored to the specific protein pocket. This library can then be further evaluated through computational methods or wet lab testing. The resulting libraries consist of commercially available molecules with favorable binding energy, drug-like functional groups, and correct binding orientations. POLARISqb emphasizes the confidentiality and security of its QuADD platform, which is deployed in a secure, isolated environment to meet the specific requirements of each organization. With its revolutionary speed and accuracy, QuADD has the potential to transform drug discovery processes in the biotech and pharmaceutical industries, ushering in a new era of quantum-assisted drug design.

 

The introduction of POLARISqb’s QuADD platform is set to have profound implications for the pharmaceutical industry both nationally and globally. Firstly, the platform’s ability to rapidly generate diverse and optimized libraries of candidate molecules will revolutionize the drug discovery process. By completing in days what traditionally takes years of wet lab testing, QuADD accelerates the timeline for bringing new treatments to market, thereby significantly reducing costs and increasing efficiency. Moreover, the utilization of quantum computing in QuADD expands the exploration of the chemical space of drug-like molecules, unlocking the potential for the discovery of novel compounds and innovative therapeutic targets that may have otherwise been overlooked. This broadening of possibilities holds great promise for addressing unmet medical needs and improving patient outcomes.

 

Additionally, the implementation of QuADD represents a major milestone in advancing the integration of quantum computing within the pharmaceutical industry. By showcasing the practical application of quantum technologies in drug discovery, POLARISqb is paving the way for further investment and exploration in this field. The success and adoption of QuADD could catalyze the adoption of quantum computing in other aspects of pharmaceutical research and development, potentially leading to even more significant advancements and breakthroughs. Ultimately, the profound impacts of QuADD on the pharmaceutical industry will be felt on a global scale, as the accelerated drug discovery process, increased efficiency, and expanded exploration of the chemical space have the potential to transform the way medicines are developed and bring about substantial improvements in healthcare worldwide.

 

Reference:

 

POLARISqb Announces the Release of Quantum-Aided Drug Design (QuADD): A Quantum-Powered SaaS for Drug Discovery

Hamed Nazari

Hamed Nazari

Hamed is an innovative and results-driven Chief Scientist with expertise in Quantum Science, Engineering, and AI. He has worked for leading tech companies in Silicon Valley and served as an Adjunct Professor at UC Berkeley and UCLA.

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