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Additional file 14: Table S10. of Machine learning classifier for identification of damaging missense mutations exclusive to human mitochondrial DNA-encoded polypeptides

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posted on 2017-03-07, 05:00 authored by Antonio Martín-Navarro, Andrés Gaudioso-Simón, Jorge Álvarez-Jarreta, Julio Montoya, Elvira Mayordomo, Eduardo Ruiz-Pesini
Prediction results for all possible missense variants in the 13 human mtDNA-encoded polypeptides. Each mutation is described by its position in the revised Cambridge reference sequence (rCRS, NC_012920.1), base change, gene, codon position, wild type amino acid (WT AA), mutant amino acid (M AA), polypeptide amino acid position (AA position) and domain. Feat 1 to 3 indicates the numerical values for the four analyzed attributes. Mitoclass.1 prediction for each mutation is showed as well as PolyPhen-2 prediction and score. (XLS 4726 kb)

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Spanish Ministries of Science and Innovation

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