Statements (308)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
gptkb:DJ gptkb:Model gptkb:software |
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:philosopher
|
| gptkbp:aims_to |
protein structures
|
| gptkbp:analyzes |
amino acid sequences
|
| gptkbp:application |
predicted protein structures
|
| gptkbp:applies_to |
biological research
various organisms genomics therapeutic development protein folding |
| gptkbp:based_on |
gptkb:microprocessor
deep learning techniques |
| gptkbp:can_provide |
understanding diseases
|
| gptkbp:collaborated_with |
academic institutions
pharmaceutical companies research institutions industry partners various universities various research institutions international research projects |
| gptkbp:collaborations |
international research teams
various universities AI and biology AI and biology experts |
| gptkbp:competes_with |
traditional methods of protein modeling
traditional experimental methods |
| gptkbp:contributed_to |
biological research
drug discovery understanding diseases |
| gptkbp:developed_by |
gptkb:philosopher
protein structure prediction |
| gptkbp:enables |
drug discovery
understanding of diseases |
| gptkbp:encourages |
cross-disciplinary research
|
| gptkbp:exhibited_at |
demonstrations
state-of-the-art performance generalization to diverse protein families |
| gptkbp:facilitates |
protein engineering
|
| gptkbp:focuses_on |
biomedical research
scientific studies |
| gptkbp:fosters |
innovation in science
|
| gptkbp:has |
multiple versions
a user-friendly interface high throughput capabilities received numerous awards been adopted by pharmaceutical companies been featured in scientific journals been integrated into various research workflows been recognized by the scientific community been recognized for its impact on science been used in various scientific studies been utilized in vaccine development been validated experimentally contributed to the understanding of diseases enhanced the accuracy of protein modeling influenced the development of new algorithms inspired further research in protein folding inspired new research initiatives opened new avenues for research set new standards in protein structure prediction significant implications for medicine influenced educational programs in computational biology |
| gptkbp:has_a |
user-friendly interface
community of users |
| gptkbp:has_achievements |
Protein structures
Protein Structures protein folding protein structures protein interactions protein complexes protein-ligand interactions high accuracy in CAS P14 high accuracy in protein structure prediction 3 D structures of proteins |
| gptkbp:has_community |
gptkb:physicist
|
| gptkbp:has_impact_on |
gptkb:Company
gptkb:item life sciences biological research genomics |
| gptkbp:has_influence_on |
structural biology
|
| gptkbp:has_programs |
gptkb:hospital
molecular biology drug discovery genomics enhances protein analysis |
| gptkbp:has_transformation |
biological sciences
research methodologies |
| gptkbp:has_version |
gptkb:Alpha_Fold_2
|
| gptkbp:has_written |
over 200 million protein sequences
|
| https://www.w3.org/2000/01/rdf-schema#label |
Alpha Fold
|
| gptkbp:impact |
healthcare
clinical research |
| gptkbp:improves |
biological research
understanding of protein folding |
| gptkbp:influenced_by |
computational biology
|
| gptkbp:innovation |
computational methods
protein modeling |
| gptkbp:input_output |
3 D protein structures
3 D protein models |
| gptkbp:investment |
AI ethics
|
| gptkbp:is |
gptkb:project
a collaborative project a subject of public interest a tool for academic research a significant resource for researchers used in academia and industry a leader in protein structure prediction technology a significant achievement in the field of bioinformatics a benchmark for future AI models a breakthrough in computational biology a key advancement in AI applications a key player in the field of genomics a key resource for drug design a major milestone in structural biology a model for future AI developments a model for future innovations in AI and biology a model for interdisciplinary collaboration a part of the future of personalized medicine a result of years of research in AI and biology a significant advancement in AI-driven research a successor to Alpha Fold 1 a tool for structural biologists a tool for understanding protein interactions a transformative technology in life sciences part of the Alpha Fold Protein Structure Database widely adopted in the scientific community |
| gptkbp:is_a |
gptkb:software_framework
|
| gptkbp:is_a_resource_for |
research institutions
scientists worldwide |
| gptkbp:is_a_tool_for |
research and development
educational purposes protein interactions protein engineering protein design reduces time in research |
| gptkbp:is_accessible_by |
gptkb:Database_Management_System
|
| gptkbp:is_adopted_by |
pharmaceutical companies
research labs |
| gptkbp:is_analyzed_in |
bioinformaticians
protein interactions |
| gptkbp:is_available_on |
gptkb:Google_Cloud
gptkb:project |
| gptkbp:is_celebrated_in |
its contributions to science
|
| gptkbp:is_challenged_by |
biological complexities
|
| gptkbp:is_cited_in |
research papers
numerous research papers numerous scientific papers |
| gptkbp:is_compared_to |
traditional methods
|
| gptkbp:is_considered |
experimental data
|
| gptkbp:is_considered_as |
breakthrough in biology
|
| gptkbp:is_described_as |
tutorials
|
| gptkbp:is_designed_for |
protein structure prediction
predicting protein structures |
| gptkbp:is_designed_to |
predict protein structures rapidly
|
| gptkbp:is_discussed_in |
conferences
scientific conferences media articles |
| gptkbp:is_documented_in |
gptkb:academic_journal
technical reports |
| gptkbp:is_enhanced_by |
gptkb:item
collaborative research agricultural biotechnology understanding of diseases computational methods computational power |
| gptkbp:is_evaluated_by |
gptkb:Research_Institute
peer review process benchmarking studies scientific metrics CASP (Critical Assessment of protein Structure Prediction) scientific benchmarks CAS P14 CAS P14 metrics blind tests |
| gptkbp:is_explored_in |
gptkb:Educational_Institution
therapeutic applications bioinformatics studies |
| gptkbp:is_featured_in |
major scientific journals
|
| gptkbp:is_influenced_by |
gptkb:Alpha_Go
previous AI models previous CASP competitions |
| gptkbp:is_influential_in |
molecular biology
structural biology |
| gptkbp:is_informed_by |
biophysical principles
|
| gptkbp:is_integrated_with |
bioinformatics tools
biological workflows |
| gptkbp:is_open_source |
gptkb:theorem
|
| gptkbp:is_part_of |
gptkb:hospital
gptkb:Research_Institute scientific advancements computational biology AI research initiatives structural biology biological databases the open science movement AI for Science the future of medicine the AI revolution Deep Mind's research portfolio AI advancements in healthcare AI in biology AI-driven research initiatives Deep Mind's AI solutions. AI for Science initiative the future of AI in science the AI revolution in science |
| gptkbp:is_promoted_by |
scientific organizations
|
| gptkbp:is_recognized_by |
gptkb:Research_Institute
Nobel laureates experimental methods experimental data Nobel Prize winners scientific awards a breakthrough in AI a significant advancement in AI technology |
| gptkbp:is_recognized_for |
its accuracy
accuracy and speed advancing protein folding research advancing computational biology |
| gptkbp:is_related_to |
gptkb:Alpha_Fold_2
|
| gptkbp:is_studied_in |
enzyme functions
|
| gptkbp:is_supported_by |
gptkb:Google_Cloud
gptkb:Google_Research gptkb:European_Molecular_Biology_Laboratory large datasets government grants government funding international collaborations AI ethics discussions academic collaborations various funding agencies collaborative grants |
| gptkbp:is_tested_for |
real-world scenarios
experimental data various protein sequences |
| gptkbp:is_used_by |
gptkb:physicist
research institutions scientists worldwide |
| gptkbp:is_used_for |
predicting protein interactions
|
| gptkbp:is_used_in |
gptkb:academic_research
COVID-19 research academic institutions drug discovery biomedical research |
| gptkbp:is_utilized_in |
academic institutions
clinical trials pharmaceutical companies researchers worldwide genomic research vaccine development biochemists |
| gptkbp:key |
understanding protein functions
|
| gptkbp:key_people |
protein research
biological discoveries |
| gptkbp:leadership |
protein structure prediction
|
| gptkbp:modifications |
biomedical research
|
| gptkbp:notable_achievement |
gptkb:Artificial_Intelligence
|
| gptkbp:notable_album |
in December 2020
|
| gptkbp:notable_recipients |
environmental science
|
| gptkbp:origin |
personalized medicine
|
| gptkbp:participated_in |
CAS P14
|
| gptkbp:performance |
experimental data
|
| gptkbp:platform |
collaborative research
|
| gptkbp:project |
aims to solve protein folding problem.
|
| gptkbp:promotes |
data sharing
open science |
| gptkbp:provides |
new research opportunities
predictions of protein structures protein structure predictions high accuracy predictions 3 D models of proteins |
| gptkbp:provides_information_on |
evolutionary biology
|
| gptkbp:published_by |
gptkb:Nature
gptkb:academic_journal |
| gptkbp:related_model |
future AI applications
learns from data learns from data. |
| gptkbp:released_in |
gptkb:2020
|
| gptkbp:research |
neuroscience
biochemists |
| gptkbp:result |
gptkb:Nature
|
| gptkbp:resulted_in |
years of research
high accuracy in protein structure prediction |
| gptkbp:subject |
pharmaceutical companies
public interest ongoing studies many conferences |
| gptkbp:successor |
gptkb:Alpha_Fold_2
|
| gptkbp:supports |
genetic engineering
|
| gptkbp:technology |
computational biology
structural biology |
| gptkbp:training |
protein sequences
protein sequence data protein databases |
| gptkbp:user_interface |
gptkb:theorem
|
| gptkbp:uses |
gptkb:Artificial_Intelligence
deep learning deep learning techniques |
| gptkbp:utilizes |
gptkb:software_framework
multiple sequence alignments attention mechanisms |
| gptkbp:winner |
first place in CAS P14
CAS P14 competition |