Mutation P84243 at position 14: G → Q (G14Q)

Overview
Predicted structure (AF):
AF-P84243-F1-model_v4
Uniprot entry:
P84243
Gene:
P84243
Protein length:
136 residues
Mutation:
G → Q
Mutation position:
14
D2Deep Prediction:
0.999
Overall confidence:
0.190
Pred. interpretation:
Pathogenic based on D2Deep prediction
 
Benign
Pathogenic
Scores that are greater than or equal to 0.5 are considered "Pathogenic", while scores that are less than 0.5 are considered "Benign".
Sequence difference
9 10 11 12 13 14 15 16 17 18 19
Original R K S T G G K A P R K
Target R K S T G Q K A P R K
Predicted original structure

Differences at amino acid level
Feature Original «G» Target «Q»
Name Glycine (Gly) Glutamine (Gln)
Molecular Formula C2H5NO2 C5H10N2O3
Residue Formula C2H3NO C5H8N2O
Molecular Weight 75.070 146.150 (+71.080)
Residue Weight 57.050 128.130 (+71.080)
Hydrophobicity index at pH 2 Neutral Neutral
Hydrophobicity index at pH 7 Neutral Neutral
Charge Neutral Neutral
Solutibility 22.500 2.600
Structure Image Original Structure Target Structure
Description Glycine (Gly) is unreactive when it is in proteins. The biosynthesis of serine (amino acid) purines, heme (part of hemoglobin found in the blood) and also glutathione (coenzyme) all require glycine. Glutamine (Gln) is the most abundant amino acid in human bodies, and it performs several functions. It is responsible for regulating toxic ammonia and urea in human bodies. The reason glutamine can remove toxic ammonia is because its carboxyl side chain can act as a donor and acceptor for ammonia (this then allows for the safe transport of ammonia in human bodies).
Predicted structures comparison

About these 3D Structures: The 3D structure representations of both original and target sequences (trimmed to 400 residues, from 1 to 136) will be modeled using the ESM Metagenomic Atlas tools. ESM Metagenomic Atlas is a web-based tool for protein structure prediction that uses deep learning methods to predict protein folding and structure from protein sequences.

Below the plots, you will find additional details on how to interpret the biophysical results.


Differences at biophysical features

About these plots: These plots have been generated by using Bio2Byte predictors to plot both the original and target sequences.

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