顺序装配
计算生物学
单克隆抗体
德布鲁恩序列
基因组
蛋白质组学
免疫球蛋白轻链
德布鲁因图
计算机科学
生物
抗体
图形
基因
遗传学
数学
组合数学
转录组
理论计算机科学
基因表达
作者
Ngoc Hieu Tran,M. Ziaur Rahman,Lin He,Lei Xin,Baozhen Shan,Ming Li
摘要
De novo protein sequencing is one of the key problems in mass spectrometry-based proteomics, especially for novel proteins such as monoclonal antibodies for which genome information is often limited or not available. However, due to limitations in peptides fragmentation and coverage, as well as ambiguities in spectra interpretation, complete de novo assembly of unknown protein sequences still remains challenging. To address this problem, we propose an integrated system, ALPS, which for the first time can automatically assemble full-length monoclonal antibody sequences. Our system integrates de novo sequencing peptides, their quality scores and error-correction information from databases into a weighted de Bruijn graph to assemble protein sequences. We evaluated ALPS performance on two antibody data sets, each including a heavy chain and a light chain. The results show that ALPS was able to assemble three complete monoclonal antibody sequences of length 216-441 AA, at 100% coverage, and 96.64-100% accuracy.
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