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gptkbp:instance_of
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gptkb:Artificial_Intelligence
|
|
gptkbp:bfsLayer
|
3
|
|
gptkbp:bfsParent
|
gptkb:philosopher
|
|
gptkbp:collaborations
|
gptkb:physicist
|
|
gptkbp:developed_by
|
gptkb:philosopher
|
|
gptkbp:focuses_on
|
biomedical engineering
government funding
international collaborations
biological research funding
|
|
gptkbp:founded
|
gptkb:Research_Institute
|
|
gptkbp:has_achievements
|
gptkb:Alpha_Fold
|
|
gptkbp:has_impact_on
|
gptkb:item
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind's AI for protein folding
|
|
gptkbp:innovation
|
gptkb:software_framework
|
|
gptkbp:is_a_resource_for
|
gptkb:physicist
|
|
gptkbp:is_a_solution_for
|
gptkb:protein_folding_problem
protein misfolding diseases
|
|
gptkbp:is_a_tool_for
|
gptkb:academic_research
academic institutions
structural biology
understanding protein functions
|
|
gptkbp:is_featured_in
|
gptkb:academic_journal
|
|
gptkbp:is_influenced_by
|
biochemistry
|
|
gptkbp:is_part_of
|
gptkb:hospital
AI advancements
the future of medicine
the scientific community's efforts
the AI revolution
the future of research
AI applications in science
|
|
gptkbp:is_recognized_by
|
gptkb:Research_Institute
|
|
gptkbp:is_recognized_for
|
its accuracy
|
|
gptkbp:is_used_by
|
research institutions
|
|
gptkbp:key
|
molecular biology
|
|
gptkbp:key_people
|
gptkb:Research_Institute
|
|
gptkbp:notable_achievement
|
AI development
|
|
gptkbp:notable_recipients
|
scientific advancements
scientific knowledge
|
|
gptkbp:partnerships
|
pharmaceutical companies
|
|
gptkbp:related_model
|
future AI applications
|
|
gptkbp:resulted_in
|
years of research
|
|
gptkbp:significance
|
biomedical research
|
|
gptkbp:subject
|
gptkb:Company
public interest
numerous studies
|