What We Can Do for Pharmaceutical Companies
At TheProphetAI, we specialize in leveraging cutting-edge AI models to help the pharmaceutical industry. Our expertise lies in drug repurposing and the discovery of new therapeutic candidates, providing a fast track to innovation and efficiency in drug development.
Our deep learning model, developed using GNNs to predict sensitivity to various drugs, showcases significant potential with a test AUROC of 0.93. This model serves as a valuable tool for drug screening and discovery, promising to help selecting the right molecules to deep study.
Drug Repurposing
Our A.I. model excels in chemical screening, a process that identifies new uses for existing chemicals. We can rapidly pinpoint potential molecules to study. This not only shortens the drug development timeline but also significantly reduces costs. Utilizing many databases like the Drug Repurposing Hub, we evaluate drug efficacy against different cell lines, for example, uncovering new therapeutic opportunities from existing drugs.
New Drug Discovery
Beyond repurposing, our AI model is a powerful tool for helping discovering entirely new drug candidates. We harness extensive databases with millions of molecules, to predict potential therapeutics. Depending on your target, we have to built a sort of metric to measure these molecules; it is based on their molecular characteristics first, narrowing down candidates, and chemical similarity later (fine tuning) for further in vitro testing. This focused approach enhances the efficiency of discovery, directing experimental efforts towards the most promising candidates and accelerating the development of novel treatments.
Future Research Directions
We continually strive to improve our models and methodologies. Future enhancements include integrating more sophisticated models like advanced Graph Neural Networks (GNNs) now in test because we use it in the cosmetic to suggest new active principle and ensemble methods to boost prediction accuracy.
Expanding our dataset to include diverse molecular structures and biological contexts will enhance generalizability. Additionally, incorporating genetic and epigenetic data will provide a comprehensive understanding of sensitivity.
At TheProphetAI, we specialize in leveraging cutting-edge AI models to help the pharmaceutical industry. Our expertise lies in drug repurposing and the discovery of new therapeutic candidates, providing a fast track to innovation and efficiency in drug development.
Our deep learning model, developed using GNNs to predict sensitivity to various drugs, showcases significant potential with a test AUROC of 0.93. This model serves as a valuable tool for drug screening and discovery, promising to help selecting the right molecules to deep study.
Drug Repurposing
Our A.I. model excels in chemical screening, a process that identifies new uses for existing chemicals. We can rapidly pinpoint potential molecules to study. This not only shortens the drug development timeline but also significantly reduces costs. Utilizing many databases like the Drug Repurposing Hub, we evaluate drug efficacy against different cell lines, for example, uncovering new therapeutic opportunities from existing drugs.
New Drug Discovery
Beyond repurposing, our AI model is a powerful tool for helping discovering entirely new drug candidates. We harness extensive databases with millions of molecules, to predict potential therapeutics. Depending on your target, we have to built a sort of metric to measure these molecules; it is based on their molecular characteristics first, narrowing down candidates, and chemical similarity later (fine tuning) for further in vitro testing. This focused approach enhances the efficiency of discovery, directing experimental efforts towards the most promising candidates and accelerating the development of novel treatments.
Future Research Directions
We continually strive to improve our models and methodologies. Future enhancements include integrating more sophisticated models like advanced Graph Neural Networks (GNNs) now in test because we use it in the cosmetic to suggest new active principle and ensemble methods to boost prediction accuracy.
Expanding our dataset to include diverse molecular structures and biological contexts will enhance generalizability. Additionally, incorporating genetic and epigenetic data will provide a comprehensive understanding of sensitivity.
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TheProphetAI s.r.l. Via Quintiliano 30, 20138 Milano Italy Innovative Start-up
REA number Milano MI-2603438
VAT number 11440630967 SDI T9K4ZHO
PEC info@pec.theprophetai.com
VAT number 11440630967 SDI T9K4ZHO
PEC info@pec.theprophetai.com