Deep Mind's AI for Chemistry
GPTKB entity
Statements (69)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
gptkbp:addressed |
Global health challenges
Complex chemical problems |
gptkbp:aims_to |
Predict molecular properties
|
gptkbp:aims_to_improve |
Time for drug development
|
gptkbp:analyzes |
Chemical reactions
|
gptkbp:applies_to |
Protein folding
|
gptkbp:assets |
Artificial intelligence techniques
|
gptkbp:can_transform_into |
Chemical education
Research methodologies |
gptkbp:collaborated_with |
Universities
Pharmaceutical companies |
gptkbp:collaborates_with |
Scientific institutions
|
gptkbp:constructed_in |
AI models for chemistry
|
gptkbp:contributes_to |
Drug discovery
|
gptkbp:created |
New insights in chemistry
New research opportunities |
gptkbp:developed_by |
gptkb:Deep_Mind
Accelerating discoveries |
gptkbp:development |
AI tools for chemists
|
gptkbp:engages_in |
Public outreach
|
gptkbp:enhances |
Material science
|
gptkbp:explores |
New materials
Chemical interactions Chemical space |
gptkbp:facilitates |
Interdisciplinary collaboration
|
gptkbp:focuses_on |
Chemical research
|
gptkbp:fosters |
Interdisciplinary research
Innovation in chemistry |
gptkbp:future_prospects |
Transform chemical research
|
gptkbp:has_applications_in |
Healthcare
|
https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind's AI for Chemistry
|
gptkbp:improves |
Computational chemistry
|
gptkbp:is_aimed_at |
Reduce costs in research
|
gptkbp:is_analyzed_in |
Chemical databases
|
gptkbp:is_based_on |
Data-driven methods
|
gptkbp:is_enhanced_by |
Data analysis
Chemical synthesis Research efficiency Collaboration between disciplines |
gptkbp:is_evaluated_by |
Peer-reviewed studies
|
gptkbp:is_focused_on |
Predictive modeling
Real-world applications |
gptkbp:is_incorporated_in |
Expert knowledge
|
gptkbp:is_influenced_by |
Quantum chemistry
|
gptkbp:is_involved_in |
Biological research
|
gptkbp:is_part_of |
AI in science
Deep Mind's research initiatives |
gptkbp:is_recognized_for |
Innovative approaches
|
gptkbp:is_supported_by |
High-performance computing
|
gptkbp:is_utilized_in |
Synthetic chemistry
|
gptkbp:notable_contributor |
Personalized medicine
Scientific community |
gptkbp:originated_in |
Scientific knowledge
AI methodologies |
gptkbp:participated_in |
Conferences
|
gptkbp:popularized_by |
AI applications in chemistry
|
gptkbp:promotes |
Sustainable chemistry
|
gptkbp:publishes |
Research papers
|
gptkbp:support |
Open science initiatives
|
gptkbp:uses |
Neural networks
|
gptkbp:utilizes |
Machine learning
Predictive analytics Large datasets Simulation techniques Deep learning techniques Graph neural networks |
gptkbp:bfsParent |
gptkb:Deep_Mind
|
gptkbp:bfsLayer |
5
|