Mutation P84243 at position 20: Q → K (Q20K)

Overview
Predicted structure (AF):
AF-P84243-F1-model_v4
Uniprot entry:
P84243
Gene:
P84243
Protein length:
136 residues
Mutation:
Q → K
Mutation position:
20
D2Deep Prediction:
0.000
Overall confidence:
0.970
Pred. interpretation:
Benign 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
15 16 17 18 19 20 21 22 23 24 25
Original K A P R K Q L A T K A
Target K A P R K K L A T K A
Predicted original structure

Differences at amino acid level
Feature Original «Q» Target «K»
Name Glutamine (Gln) Lysine (Lys)
Molecular Formula C5H10N2O3 C6H14N2O2
Residue Formula C5H8N2O C6H12N2O
Molecular Weight 146.150 146.190 (+0.040)
Residue Weight 128.130 128.180 (+0.050)
Hydrophobicity index at pH 2 Neutral Hydrophilic
Hydrophobicity index at pH 7 Neutral Hydrophilic
Charge Neutral Positive
Solutibility 2.600 Undetermined
Structure Image Original Structure Target Structure
Description 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). Lysine (Lys) is in the binding enzymes to coenzymes. It plays an important role in the way that histones function. Specifically, it binds to histone acetyl transferases which alter the transcription of certain genes.
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