演題概要

オーラルセッション

第2日 5月18日(木) 10:50~11:10 C会場(101)

データベース検索エンジンを用いたタンパク質同定における特異性向上

(1京大化研2京大院薬3DBCLS4新潟大院医歯5新潟大産学6九大生医研7熊本大院生命8Trans-IT)
o吉沢明康1田畑剛2守屋勇樹3河野信3奥田修二郎4渡辺由4山本格5松本雅記6高見知代6小林大樹7荒木令江7杉山直幸2田中聡8五斗進3石濱泰2

The developing integrated proteome database “jPOST” plans to employ a methodology to remove unreliable results that can be false positives from the database search results. False positive assignments can be estimated by decoy sequence assignments, and on the sorted result, higher-ranked assignments than the highest-ranked decoy assignment can be assumed to contain no false positive assignments. In order to move down the highest decoy assignment, we have developed a new index “jPOST score,” which employs annotated mass peak information, such as the concept of peptide sequence tags, and is equivalent to manual inspection of spectra. By re-sorting the database search result with this jPOST score, the rank of highest-ranked decoy assignment was lower by more than 10%, and similarly the number of obtained sequences was increased more than 10% under the condition FDR=0.1%.