Mutation P84243 at position 17: P → Q (P17Q)

Overview
Predicted structure (AF):
AF-P84243-F1-model_v4
Uniprot entry:
P84243
Gene:
P84243
Protein length:
136 residues
Mutation:
P → Q
Mutation position:
17
D2Deep Prediction:
0.953
Overall confidence:
0.187
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
12 13 14 15 16 17 18 19 20 21 22
Original T G G K A P R K Q L A
Target T G G K A Q R K Q L A
Predicted original structure

Differences at amino acid level
Feature Original «P» Target «Q»
Name Proline (Pro) Glutamine (Gln)
Molecular Formula C5H9NO2 C5H10N2O3
Residue Formula C5H7NO C5H8N2O
Molecular Weight 115.130 146.150 (+31.020)
Residue Weight 97.120 128.130 (+31.010)
Hydrophobicity index at pH 2 Hydrophilic Neutral
Hydrophobicity index at pH 7 Undetermined Neutral
Charge Neutral Neutral
Solutibility 1.540 2.600
Structure Image Original Structure Target Structure
Description Proline (Pro) is made from glutamic acid. When it is in a protein it causes sharp bends to occur in the peptide chain, altering the protein’s final structure. 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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Predict biophysical features