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
TRL: 8
CRL: 7
BRL: 8
IPRL: 7
TmRL: 8
FRL: 9
Impacted SDGs:
N/A
More information
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