AF_AFA1QQ97F1
COMPUTED STRUCTURE MODEL OF ENOLASE
There are no experimental data to verify the accuracy of this computed structure model. See Model Confidence metrics below for all regions of the polypeptide chain.
- AlphaFold DB: AF-A1QQ97-F1
- Released in AlphaFold DB:  2021-12-09
Last Modified in AlphaFold DB: 2022-09-30 - Organism(s): Mycobacterium tuberculosis F11
- UniProtKB: A1QQ97
Model Confidence
- pLDDT (global): 96.8
- pLDDT (local):
Model Confidence
- Very high (pLDDT > 90)
- Confident (70 < pLDDT ≤ 90)
- Low (50 < pLDDT ≤ 70)
- Very low (pLDDT ≤ 50)
Computed Structure Models provide per-residue confidence score (pLDDT) between 0 and 100. Some regions below 50 pLDDT may be unstructured in isolation.
Macromolecules
Find similar proteins by:
(by identity cutoff) | 3D Structure
Entity ID: 1 | |||||
---|---|---|---|---|---|
Molecule | Chains | Sequence Length | Organism | Details | Image |
Enolase | 429 | Mycobacterium tuberculosis F11 | Mutation(s): 0  Gene Names: eno EC: 4.2.1.11 | ![]() | |
UniProt | |||||
Find proteins for A1QQ97 (Mycobacterium tuberculosis (strain F11)) Explore A1QQ97  Go to UniProtKB:  A1QQ97 | |||||
Entity Groups   | |||||
Sequence Clusters | 30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity | ||||
UniProt Group | A1QQ97 | ||||
Sequence AnnotationsExpand | |||||
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