Institution:
Unique and proprietary algorithms based on Quantum-Mechanics (QM) and Artificial Intelligence (AI)
exaScreen
Novel synthesizable hits from a limitless space
Research Group:
Computational Biology and Drug Design
Researcher/s:
F. Javier Luque
Description:
Type of asset:
Service
Category:
Life Sciences
Problem:
96% of drug discovery projects fail. The current state-of-the-art methodologies mine a very small and fully explored chemical space
Solution:
exaScreen uses a unique and new way to mine an unexplored and limitless chemical space and to propose novel synthesizable molecules for a drug discovery project. These molecules have higher chances to meet the desired physico-chemical properties, increasing drug discovery success rates and reducing execution times
Aplication areas:
Small molecule drug discovery
Novelty:
Unique and proprietary algorithms based on Quantum-Mechanics (QM) and Artificial Intelligence (AI)
Protection:
Patent (PCT/EP2016/082850)
Target market:
Small molecule drug discovery
Keywords:
Drug discovery, AI, small molecules
Technology Readiness Level (1-9): 8
Business Readiness Level (1-9): 8
Impacted SDGs:
N/A
More information
if you want to know more about this project do not hesitate to contact us