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DrugDiscoveryAI for
To identify the possible targets for a drug therapy based on genomic sequence & drug therapy for the target identified.
To predict new or existing drugs for the target identified.
Predictive model that would be able to predict a potential drug target.
Identification of a drug lead that would combat the target disease.
AI is being used, since it is capable of handling large volumes of data with enhanced automation. Many drug molecules are developed due to the vast chemical space, which contains more than 1e+60 molecules. Due to a lack of advanced technologies, drug development is a time-consuming and expensive process, which can be addressed by using artificial intelligence. With the help of artificial intelligence, drug targets can be validated and drug structure designs can be optimized more quickly
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The creation and production of new drugs is a complex technological process and critical areas of medicine require new approaches and, therefore, new processes for pharmacological development.It Is impossible to anylaze thousands of molecules manually to identify potential drug lead.
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Identification and validation through the integration of genomics, functional genomics and ML/AI..
