演題概要

オーラルセッション

第3日　5月17日（金）　10:10～10:30　D会場（202）

3D-O1-1010　　PDF

事後ペプチドシーケンスタグを利用する高精度タンパク質同定

(¹京大院薬・ ²京大CiRA・ ³スウェーデン王立工大)
^o田畑剛^1,2・ 吉沢明康¹・ 岩崎未央²・ 杉山直幸¹・ Käll, Lukas³・ 石濱泰¹

We developed an approach to identify peptides based on product ion spectra with peak annotation obtained by multiple search engines, which are implemented in jPOST, the integrated database for proteomes. In order to merge the results from multiple search engines and to remove possible false positives, we have developed a new index “jPOST score,” in which peptide sequence tags by multiple search engines are posteriorly used to increase the accuracy of peptide identification. By re-sorting the peptides according to jPOST score for a large-scale dataset of colon cancers registered in jPOST, the number of identified peptides increased from 63,127 to 111,270 at the FDR=1%. In this presentation, we will describe how to calculate jPOST scores and how to improve the scoring algorithm.