Difference between revisions of "Gaucher Disease: Task 08 - LabJournal"
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This mutation is predicted to be benign with a score of 0.009 (sensitivity: 0.96; specificity: 0.49) |
This mutation is predicted to be benign with a score of 0.009 (sensitivity: 0.96; specificity: 0.49) |
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R159Q |
R159Q |
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This mutation is predicted to be probably damaging with a score of 0.997 (sensitivity: 0.27; specificity: 0.98) |
This mutation is predicted to be probably damaging with a score of 0.997 (sensitivity: 0.27; specificity: 0.98) |
Revision as of 17:34, 31 August 2013
Contents
Choosing Mutation set
The cDNA sequence used by HGMD has the accession nr. NM_001005741.2). The one letter code of this cDNA has a 100% sequence identity to the reference sequence of Uniprot, which we used for all tasks. Therefore,the exact positions of the mutations listed by HGMD can be taken. The accession number is also listed by dbSNP, so that the right mutation position can be seen.
To choose mutations from dbSNP we selected four point mutations of the SNP Geneview Report of glucocerebrosidase with the NP_001005741.1 which was already used in task 7. For HGMD we randomly picked six mutations from the snp list of the NP_001005741.1.
Mutation Analysis
The property information about the amino acids were taken from Wikipedia.
The visualisation of the mutations was done with pymol. For the mutation of the residues we followed the description of the PymolWiki We considered again the sequence shift of 39 residues between uniprot and pdb sequence.
We took the information about the secondary structure from our previous task 3. We alway choosed the secondary structure type which was predicted from the majority of the prediction tools in that task.
The scores for the mutations were looked up in two substitution matrices: BLOSUM62 and PAM250
PSSM
We created different PSSM matrices. The first was generated with PsiBlast:
blastpgp -j 5 -h 10e-6
-i /mnt/home/student/gerkej/gaucher/task8/P04062.fasta
-d /mnt/project/pracstrucfunc13/data/big/big_80
-o /mnt/home/student/gerkej/gaucher/task8/psiBl/ev-6/big80_it5.out
-Q /mnt/home/student/gerkej/gaucher/task8/psiBl/ev-6/big80_it5.pssm
-C /mnt/home/student/gerkej/gaucher/task8/psiBl/ev-6/big80_it5.chk
PSSM by psiblast
Last position-specific scoring matrix computed, weighted observed percentages rounded down, information per position, and relative weight of gapless real matches to pseudocounts
A R N D C Q E G H I L K M F P S T W Y V A R N D C Q E G H I L K M F P S T W Y V
77 S 0 1 0 1 -1 1 1 -1 0 -1 -2 0 -1 -3 -3 1 1 -4 -2 0 7 9 4 8 1 7 11 3 2 4 4 6 1 1 0 11 11 0 1 8 0.14 inf
141 N -1 0 2 4 -2 2 2 -3 -1 -3 -3 1 -2 -5 -4 0 1 1 -2 -3 5 4 10 20 1 10 15 2 1 1 3 7 1 0 0 7 7 2 1 2 0.40 inf
159 R -6 8 -6 -7 -8 -4 -5 -7 -6 -8 -4 2 -6 -7 -7 -3 -6 1 -7 -7 0 81 0 0 0 0 0 0 0 0 2 11 0 0 0 2 0 2 0 0 2.56 inf
213 L -3 -5 -2 -6 -4 -5 -5 -2 -5 4 2 -5 0 3 -5 -4 -1 3 0 3 2 0 2 0 0 0 0 3 0 23 22 0 2 13 0 0 4 4 2 21 0.72 inf
241 G -1 2 0 2 -4 1 -1 1 -1 -2 -1 3 -2 -3 -1 -1 -1 0 -1 -2 5 11 5 11 0 7 3 11 2 2 6 17 1 1 4 3 4 2 3 3 0.19 inf
349 V 0 -3 -2 -3 0 -4 -3 2 -1 0 -1 -4 -1 4 -5 0 0 5 2 2 10 1 1 1 2 0 1 14 2 5 4 0 2 17 0 6 6 9 7 14 0.42 inf
408 T -1 1 2 2 0 2 0 2 2 -2 -2 0 -1 -1 -1 0 0 -4 0 -2 3 7 10 11 2 9 5 19 5 2 3 4 2 2 2 5 4 0 3 3 0.19 inf
409 N 1 -2 1 1 1 -2 -1 0 1 -1 -1 -1 0 1 0 1 0 2 1 -1 11 0 10 9 4 0 3 6 3 4 4 3 3 6 4 9 6 4 7 4 0.09 inf
483 L -2 -3 -2 -3 -4 -3 -3 0 -2 3 3 -2 0 0 -3 -3 -2 -4 -1 3 2 1 2 2 0 1 1 9 1 13 29 3 2 4 1 2 2 0 2 24 0.46 inf
501 N -6 -6 9 -3 -8 -4 -3 -6 -5 -6 -8 -6 -3 -8 -5 -2 -2 -8 -7 -6 1 0 87 1 0 0 2 0 0 0 0 0 1 0 1 3 3 0 0 1 2.83 inf
The second PSSM is based on an alignment of all mamalian homologous. We identified the homologs on Uniprot. The BlastP seaerch was run on the mamalian database. For P04062 we found 140 homologous sequences with an evalue of less than 10e-4. To generate the MSA of the homologous sequences we used Clustal Omega, which is a newer version of CLustalW and recommended on the ClustalW webserver. With PsiBlast we created the PSSM matrix out of the MSA.
blastpgp
-i /mnt/home/student/gerkej/gaucher/task8/P04062.fasta
-d /mnt/project/pracstrucfunc13/data/big/big_80
-B /mnt/home/student/gerkej/gaucher/task8/psiBl/clustal-omegas.clustal
-o /mnt/home/student/gerkej/gaucher/task8/psiBl/big80_it5.out
-Q /mnt/home/student/gerkej/gaucher/task8/psiBl/big80_it5.pssm
PSSM by clustalOmega alignment of hoologous
Last position-specific scoring matrix computed, weighted observed percentages rounded down, information per position, and relative weight of gapless real matches to pseudocounts
A R N D C Q E G H I L K M F P S T W Y V A R N D C Q E G H I L K M F P S T W Y V
77 S 1 -1 0 0 -1 0 0 0 -1 -2 -2 0 -1 -2 0 3 1 -2 -1 -1 3 2 2 2 1 1 2 4 1 2 3 2 1 1 2 64 4 0 1 2 0.25 inf
141 N -1 0 5 3 -2 0 1 -1 0 -3 -3 0 -2 -3 -1 0 0 -3 -2 -2 1 1 55 16 0 1 10 1 0 1 1 6 0 1 1 3 1 0 0 1 0.42 inf
159 R -2 5 -1 -2 -3 1 0 -3 -1 -3 -2 2 -2 -2 -2 -1 -1 5 -1 -3 0 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0.76 inf
213 L -2 -2 -4 -4 -1 -2 -3 -4 -3 2 4 -3 2 0 -3 -3 -1 -2 -1 1 0 0 0 0 0 0 0 0 0 0 100 0 0 0 0 0 0 0 0 0 0.49 inf
241 G 0 1 -1 -1 -3 -1 -2 5 -2 -4 -4 -1 -3 -3 -2 0 -2 -3 -3 -3 0 17 0 0 0 0 0 83 0 0 0 0 0 0 0 0 0 0 0 0 0.83 inf
349 V 0 -3 -3 -3 -1 -2 -3 -3 -3 3 1 -2 1 -1 -3 -2 0 -3 -1 4 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 97 0.39 inf
408 T 0 -1 0 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -2 -1 1 4 -2 -1 0 1 1 1 1 0 1 1 1 0 1 2 1 0 1 1 1 82 0 1 1 0.37 inf
409 N -1 0 5 1 -2 0 0 0 0 -2 -2 0 -2 -2 -1 0 0 -3 -2 -2 2 1 76 5 0 1 1 2 0 1 2 1 0 1 1 2 1 0 1 1 0.51 inf
483 L -2 -2 -4 -4 -1 -2 -3 -4 -3 2 4 -3 2 0 -3 -3 -1 -2 -1 1 0 0 0 0 0 0 0 0 0 0 100 0 0 0 0 0 0 0 0 0 0.50 inf
501 N -1 0 6 1 -2 0 0 0 0 -3 -3 0 -2 -3 -2 0 0 -3 -2 -2 1 1 86 1 0 1 1 1 0 1 1 1 0 1 1 1 1 0 0 1 0.61 inf
Prediction approaches
SIFT
Polyphen2
Polyphen2 offers two different prediction scores which were trained and tested on different datasets. As recommended on the website, we decided to focus on the score HumVar which uses all human disease-causing mutations from UniProtKB and common human non-synonymous SNPs as non-damaging SNPs. For the Polyphen2 nomenklatur benign, possibly damaging and probably damaging we used the identifier non-disease causing, possibly damaging and disease causing.
S77R This mutation is predicted to be benign with a score of 0.170 (sensitivity: 0.89; specificity: 0.72)
N141S This mutation is predicted to be benign with a score of 0.009 (sensitivity: 0.96; specificity: 0.49)
R159Q This mutation is predicted to be probably damaging with a score of 0.997 (sensitivity: 0.27; specificity: 0.98)
L213F This mutation is predicted to be possibly damaging with a score of 0.790 (sensitivity: 0.76; specificity: 0.87)
G241E This mutation is predicted to be possibly damaging with a score of 0.892 (sensitivity: 0.70; specificity: 0.90)
V349I This mutation is predicted to be benign with a score of 0.118 (sensitivity: 0.90; specificity: 0.70)
T408M This mutation is predicted to be benign with a score of 0.113 (sensitivity: 0.90; specificity: 0.69)
N409S This mutation is predicted to be benign with a score of 0.234 (sensitivity: 0.88; specificity: 0.75)
L483P This mutation is predicted to be possibly damaging with a score of 0.856 (sensitivity: 0.72; specificity: 0.88)
N501S This mutation is predicted to be probably damaging with a score of 0.979 (sensitivity: 0.57; specificity: 0.94)