Aladdin Healthcare Technologies validates its proprietary Deep Learning Algorithms that significantly improve Drug Discovery Performance
Aladdin's team of experts developed a new deep learning-based graph model for molecular representation. A good drug candidate should not only be efficient but also have appropriate ADMET properties at a therapeutic dose. ADMET stands for absorption, distribution, metabolism, excretion, and toxicity of the drug candidate. Extensive experiments demonstrated that Aladdin's technology has achieved superior prediction performances (ADMET properties prediction) on six chemical property and toxicity datasets, improving other deep learning methods by 5-10% and traditional computational methods by over 20%. Furthermore, Aladdin's method is 1.7 times more accurate than other state-of-the-art methods when the training data set has no similar scaffold to the test set.
The successful results of Aladdin's deep learning algorithms have been accepted by the 29. International Joint Conference on AI among 4,717 valid submissions. The overall acceptance rate was only 12.6%.
Constructing proper representations of molecules lies at the core of numerous tasks such as molecular property prediction, virtual screening and drug design. Deep learning methods by using Graph neural networks, especially Message Passing Neural Networks (MPNN) and its variants, have recently made remarkable achievements in drug molecular modeling. Albeit powerful, the one-sided focus on atom (node) or bond (edge) information of existing MPNN methods leads to insufficient representations of the attributed molecular graphs. Aladdin has now developed a Communicative Message Passing Neural Network (CMPNN) to improve the molecular embedding by strengthening the message interactions between nodes and edges through a communicative kernel.
Wade Menpes-Smith, CEO of Aladdin Healthcare Technologies SE, comments: "This is a further validation of our world-class AI technology capability and another key milestone that is a catalyst for further breakthroughs in AI drug discovery."
Further information about Aladdin's method and results can be found on https://www.ijcai.org/Proceedings/2020/392.
About Aladdin Healthcare Technologies SE Aladdin Healthcare Technologies SE (and its wholly owned subsidiary Aladdin Healthcare Technologies Ltd.) is a leading developer of AI healthcare diagnostics and drug discovery applications that can accelerate both early stage disease diagnosis and the end-to-end drug discovery process. Aladdin targets age-related diseases including a significant focus on Alzheimer's disease. Aladdin accomplishes this by collaborating with numerous partners within the global healthcare ecosystem to confidentially and securely gather targeted data including, genome, tabular, MRI, PET, cognition and other lifestyle data. These datasets are then analysed by our award-winning AI team and used to develop proprietary AI tools that can assist healthcare professionals to more accurately and efficiently diagnose age-related diseases. This new diagnostic process will save significant time and costs for healthcare professionals. Additionally, our AI drug discovery platform will be used by pharmaceutical Companies to speed up drug development, clinical trials and predict outcomes more accurately. Website Link: www.aladdinid.com GSIN: A12ULL ISIN: DE000A12ULL2 TICKER SYMBOL: NMIFor further information: Aladdin Healthcare Technologies Ltd. 24-26 Baltic Street West London EC1Y 0UR Phone +44 7714 719696 Email: email@example.comContact Press CROSS ALLIANCE communication GmbH Sara Pinto Phone +49 89 1250 90330 Email: firstname.lastname@example.org
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