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Innovative Approach for Drug Discovery: Optibrium's AI and Quantum Mechanics Method Predicts Metabolic Routes

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Zara Nwosu
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Innovative Approach for Drug Discovery: Optibrium's AI and Quantum Mechanics Method Predicts Metabolic Routes

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Optibrium's Groundbreaking Study

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Optibrium, a prominent software and AI solution developer for drug discovery, recently unveiled a peer-reviewed study in the renowned journal, Xenobiotica. The study, titled 'Predicting routes of phase I and II metabolism based on quantum mechanics and machine learning,' introduces a revolutionary method that accurately predicts the routes of metabolism and metabolites in early drug discovery.

The aim of the study is to enhance the success rate of drug candidates by accurately determining the metabolic routes and metabolites. This groundbreaking research is the result of six years of dedicated study and aims at providing a practical model for predicting metabolic pathways for a wide array of drug-like compounds.

WhichEnzyme™ Model: A Game-changer in Drug Discovery

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The study outlines the creation and validation of Optibrium's WhichEnzyme™ model. This innovative model accurately predicts the enzyme families that are most likely to metabolize a drug candidate. By combining this model with previously published models, researchers can predict sites of metabolism and the resulting metabolites.

This development has the potential to revolutionize the field of drug discovery. It allows researchers to identify compounds with greater metabolic stability and better safety profiles by accurately predicting the most likely routes of metabolism and metabolites.

Enhanced Sensitivity and Precision

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The new method proposed by Optibrium delivers high sensitivity in identifying experimentally reported metabolites. It also offers higher precision than other methods for predicting in vivo metabolite profiles. This is a significant advancement in the field, as it allows for a more accurate prediction of the potential effects of drug candidates.

Dr. Mario Öeren, Principal Scientist at Optibrium, stated that the study is a testament to the company's dedication to enhancing the drug discovery process. He believes that the results of this study can provide a practical model for predicting metabolic pathways for a wide range of drug-like compounds, thus improving the success rate of drug candidates.

Pathway to Improved Drug Discovery

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The integration of quantum mechanics and machine learning in predicting the routes of metabolism signifies a major step forward in the field of drug discovery. This innovative approach could potentially enhance the success rates of drug candidates, bringing new and effective treatments to patients more quickly.

Optibrium's groundbreaking research has paved the way for a new era of drug discovery. By accurately predicting the routes of metabolism and the resulting metabolites, researchers can now identify compounds with greater metabolic stability and better safety profiles. This will ultimately lead to the development of safer and more effective drugs, improving patient outcomes and transforming the healthcare landscape.

For more information about Optibrium or the StarDrop Metabolism module, interested parties are encouraged to reach out via the provided contact information.

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