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AI Drug Discovery Platform

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

Project Type

Service Model

Technology Readiness Levels

Software Requirements Specifications Overview

Business and Economic Impact

Industry

Project Status

Successfully Deployed in Industry

Digital Transformation Domain

Unit Cost

$8,000,000

Pricing Model

Economic Impact

MARKET CAPABILITY & CONSUMER GROUPS

TARGET MARKET SEGMENTS

KEY CLIENT & CUSTOMERS

PROJECTED SALES METRICS

Pharmaceutical Companies (Including Foreign Developers & Manufacturers): Deploying an AI-driven system to predict new therapeutic indications for known drug molecules and active substances against specific biological targets. The neural network algorithm utilizes a molecular property database to propose minimal structural modifications, suggest optimized structural analogs, and generate focused chemical libraries with enhanced potency and selectivity.

ГК Химрар - Софинансирование проекта (Обеспечивает софинансирование и выступает заказчиком работ по проекту)

Social & Environmental Impact

INVESTMENT RETURN & SUSTAINABILITY 

PRODUCT SUPPORT COSTS

INVESTMENT RETURN

Marketing Communications

Marketing Materials and Resources

License Tiers

Commercial Channels & Digital Marketplaces

Project Media Gallery & Video Demonstrations

Careers Anchor

Executive Roles

My Companies

Career Trek

Career Trek

Career Recognition

Project Biography

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