Statements (67)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:protein
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Alpha_Fold_2
|
| gptkbp:applies_to |
biological research
|
| gptkbp:based_on |
gptkb:microprocessor
Alpha Fold architecture |
| gptkbp:collaborated_with |
industry partners
international research teams various universities |
| gptkbp:competes_with |
traditional methods of protein structure prediction
|
| gptkbp:contributed_to |
understanding of diseases
|
| gptkbp:developed_by |
gptkb:philosopher
collaborative efforts biomedical applications academic purposes |
| gptkbp:exhibited_at |
CAS P14
|
| gptkbp:has_achievements |
high accuracy in protein folding predictions
|
| gptkbp:has_impact_on |
drug discovery
|
| gptkbp:has_programs |
gptkb:item
|
| https://www.w3.org/2000/01/rdf-schema#label |
Alpha Fold 1
|
| gptkbp:improves |
protein modeling accuracy
|
| gptkbp:is_adopted_by |
pharmaceutical companies
|
| gptkbp:is_available_on |
gptkb:project
|
| gptkbp:is_cited_in |
numerous research papers
|
| gptkbp:is_evaluated_by |
experimental data
benchmarking competitions |
| gptkbp:is_influenced_by |
previous protein prediction models
|
| gptkbp:is_influential_in |
structural biology
computational drug design |
| gptkbp:is_integrated_with |
bioinformatics tools
|
| gptkbp:is_part_of |
AI research initiatives
AI research community machine learning advancements AI applications in biology Deep Mind's research portfolio AI in biology AI in medicine AI-driven research AI and healthcare initiatives computational biology advancements |
| gptkbp:is_recognized_by |
gptkb:Research_Institute
Nobel laureates biotechnology firms |
| gptkbp:is_recognized_for |
its accuracy
its contributions to science its innovative approach |
| gptkbp:is_supported_by |
computational resources
government funding research grants cloud computing platforms |
| gptkbp:is_tested_for |
large protein datasets
real-world protein structures |
| gptkbp:is_used_by |
research institutions
|
| gptkbp:is_used_in |
gptkb:academic_research
|
| gptkbp:is_used_to |
predict protein interactions
analyze protein dynamics |
| gptkbp:is_utilized_in |
clinical research
genomic studies protein engineering protein design |
| gptkbp:led_to |
new research directions
|
| gptkbp:provides |
predictions of protein structures
|
| gptkbp:published_by |
gptkb:Nature
|
| gptkbp:release_year |
gptkb:2020
|
| gptkbp:successor |
gptkb:Alpha_Fold_2
|
| gptkbp:uses |
deep learning
|
| gptkbp:utilizes |
multiple sequence alignments
|