CASP (Critical Assessment of protein Structure Prediction)
E200554
CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
All labels observed (4)
How this entity was disambiguated
This entity first appeared as the object of triple T1793145 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: CASP (Critical Assessment of protein Structure Prediction) Context triple: [AlphaFold, relatedTo, CASP (Critical Assessment of protein Structure Prediction)]
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A.
AlphaFold
AlphaFold is an artificial intelligence system developed by DeepMind that predicts protein 3D structures from amino acid sequences with unprecedented accuracy, revolutionizing structural biology.
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B.
Commission on Biological Macromolecules
The Commission on Biological Macromolecules is a specialist body within the International Union of Crystallography that promotes and coordinates research, standards, and collaboration in the crystallographic study of biological macromolecules such as proteins and nucleic acids.
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C.
Crystallographic Information Framework
The Crystallographic Information Framework is a standardized data format and ontology used worldwide for representing, exchanging, and archiving crystallographic and related structural science data.
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D.
CASS
CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
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E.
PEPM
PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: CASP (Critical Assessment of protein Structure Prediction) Target entity description: CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
-
A.
AlphaFold
AlphaFold is an artificial intelligence system developed by DeepMind that predicts protein 3D structures from amino acid sequences with unprecedented accuracy, revolutionizing structural biology.
-
B.
Commission on Biological Macromolecules
The Commission on Biological Macromolecules is a specialist body within the International Union of Crystallography that promotes and coordinates research, standards, and collaboration in the crystallographic study of biological macromolecules such as proteins and nucleic acids.
-
C.
Crystallographic Information Framework
The Crystallographic Information Framework is a standardized data format and ontology used worldwide for representing, exchanging, and archiving crystallographic and related structural science data.
-
D.
CASS
CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
-
E.
PEPM
PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
community-wide experiment
ⓘ
protein structure prediction benchmark ⓘ scientific experiment ⓘ |
| acronym |
CASP conference
ⓘ
surface form:
CASP
|
| evaluationBy | independent assessors ⓘ |
| evaluationCriterion |
accuracy of predicted 3D protein structures
ⓘ
contact prediction accuracy ⓘ global fold accuracy ⓘ local structural accuracy ⓘ model quality estimation ⓘ |
| field |
computational biology
ⓘ
protein structure prediction ⓘ structural bioinformatics ⓘ |
| frequency | biennial ⓘ |
| fullName |
CASP (Critical Assessment of protein Structure Prediction)
self-linksurface differs
ⓘ
surface form:
Critical Assessment of protein Structure Prediction
|
| hasCategory |
RNA structure prediction
ⓘ
contact prediction ⓘ free modeling ⓘ model quality assessment ⓘ protein complex prediction ⓘ refinement ⓘ template-based modeling ⓘ |
| hasOutcome |
guidance for future method development
ⓘ
identification of strengths and weaknesses of prediction approaches ⓘ ranking of participating prediction methods ⓘ |
| hostedBy |
CASP (Critical Assessment of protein Structure Prediction)
self-linksurface differs
ⓘ
surface form:
Protein Structure Prediction Center
|
| impact |
accelerated progress in accurate protein structure prediction
ⓘ
provided benchmarks for deep learning-based structure prediction methods ⓘ |
| influenced |
benchmarking standards in structural bioinformatics
ⓘ
development of protein structure prediction algorithms ⓘ machine learning methods for protein structure prediction ⓘ |
| knownFor |
public release of prediction results and assessments
ⓘ
rigorous blind testing of prediction methods ⓘ setting community standards for protein structure prediction ⓘ |
| method |
blind prediction assessment
ⓘ
use of unpublished experimental protein structures as targets ⓘ |
| organizer |
John Moult
ⓘ
University of Maryland, Institute for Bioscience and Biotechnology Research ⓘ |
| purpose |
comparison of computational protein structure prediction accuracy
ⓘ
objective evaluation of protein structure prediction methods ⓘ |
| relatedTo |
protein structure determination by NMR spectroscopy
ⓘ
protein structure determination by X-ray crystallography ⓘ protein structure determination by cryo-electron microscopy ⓘ |
| startYear | 1994 ⓘ |
| typicalParticipants |
academic research groups
ⓘ
developers of protein structure prediction software ⓘ industry research groups ⓘ |
| website | https://predictioncenter.org ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: CASP (Critical Assessment of protein Structure Prediction) Description of subject: CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.