Indeykina M I, Podgrudkov D A, Kononikhin A S
Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russia.
Moscow Institute of Physics and Technology (State University), Moscow, Russia.
EuPA Open Proteom. 2018 Oct 13;20:1-8. doi: 10.1016/j.euprot.2018.10.001. eCollection 2018 Dec.
Here we present the results of our attempt on the EuPA YPIC challenge. The task was to sequence the provided synthetic peptides, build the sentence encrypted in them and determine from which book the sentence originated. The task itself, while holding no direct scientific value, offers an insight in less formal terms (for participants at least) on how the overall process of a scientific study of a "new protein" looks like. Hence, we decided to look at the challenge as if it was a general task of sequencing an unknown protein from an unusual proteome database. To solve the task we used LC-MS/MS, MALDI-MS and de novo sequencing. A combination of two MS instruments and de novo MS/MS data analysis make it possible to sequence new peptides and proteins not yet present in proteomic databases.
在此，我们展示了我们参与欧洲蛋白质组学协会青年蛋白质组学创新挑战赛（EuPA YPIC challenge）的尝试结果。任务是对提供的合成肽进行测序，构建其中加密的句子，并确定该句子出自哪本书。该任务本身虽无直接科学价值，但（至少对参与者而言）以不太正式的方式让我们了解了对“新蛋白质”进行科学研究的整体过程是怎样的。因此，我们决定将该挑战视为从一个不寻常的蛋白质组数据库中对未知蛋白质进行测序的一般任务。为了解决该任务，我们使用了液相色谱 - 串联质谱（LC-MS/MS）、基质辅助激光解吸电离质谱（MALDI-MS）和从头测序。两种质谱仪器与从头串联质谱数据分析相结合，使得对蛋白质组数据库中尚未存在的新肽和蛋白质进行测序成为可能。
