AI Drug Discovery Platform

Development of artificial intelligence technologies for the creation of new drugs and prediction of their properties. Self-learning computer algorithms based on Artificial Neural Networks (INNs) for repurposing known drug molecules and biologically active substances and their structural modification in order to optimize selectivity and activity Potential consumers of the product are pharmaceutical companies, including foreign developers and manufacturers of medicines. As a result of the project, the efficiency of search work in the creation of new drugs or the repurposing of existing ones will be increased. The use of neural network technologies will significantly affect the speed of bringing new drugs to the market for creating leads and, possibly, hits at the pre-experimental stage. Repurposing existing medicines is a highly effective alternative method for creating new medicines. The results of research that can be legally protected will be protected by patents, including potential patents for new applications. In the Know-How mode - focus libraries. The use of the results obtained by potential consumers is assumed on the basis of license agreements
Technical Architecture
Technology

Tech Platform

Digital Transformation Domain

TR Level
Software Requirements Specifications (SRS) Overview
Project Type

Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry

