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Reduction in Database Search Space by Utilization of Amino Acid Composition Information from Electron Transfer Dissociation and Higher-Energy Collisional Dissociation Mass Spectra

机译:利用电子转移解离和高能碰撞解离质谱的氨基酸组成信息减少数据库搜索空间

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With high-mass accuracy and consecutively obtained electron transfer dissociation (ETD) and high-erenergy collisional dissociation (HCD) tandem mass spectrometry (MS/MS), reliable (>=97percent) and sensitive fragment ions have been extracted for identification of specific amino acid residues in peptide sequences. The analytical benefit of these specific amino acid composition (AAC) ions is to restrict the database search space and provide identification of peptides with higher confidence and reduced false negative rates. The 6706 uniquely identified peptide sequences determined with a conservative Mascot score of >30 were used to characterize the AAC ions. The loss of amino acid side chains (small neutral losses, SNLs) from the charge reduced peptide radical cations was studied using ETD. Complementary AAC information from HCD spectra was provided by immonium ions. From the ETD/ HCD mass spectra, 5162 and 6720 reliable SNLs and immonium ions were successfully extracted, respectively. Automated application of the AAC information during database searching resulted in an average 3.5-fold higher confidence level of peptide identification. In addition, 4percent and 28percent more peptides were identified above the significance level in a standard and extended search space, respectively.
机译:凭借高质量的准确度和连续获得的电子转移解离(ETD)和高能碰撞解离(HCD)串联质谱(MS / MS),已提取了可靠的(> = 97%)和灵敏的碎片离子,用于鉴定特定的氨基肽序列中的酸性残基。这些特定氨基酸组成(AAC)离子的分析益处是限制数据库搜索空间,并以更高的置信度和降低的假阴性率提供肽的鉴定。用保守的Mascot得分> 30确定的6706个唯一识别的肽序列用于表征AAC离子。使用ETD研究了电荷减少的肽自由基阳离子从氨基酸侧链的损失(小的中性损失,SNL)。来自HCD光谱的补充AAC信息由铵离子提供。从ETD / HCD质谱图中,分别成功提取了5162和6720个可靠的SNL和铵离子。在数据库搜索过程中自动应用AAC信息导致肽段鉴定的平均置信度提高了3.5倍。此外,在标准搜索空间和扩展搜索空间中,分别在显着性水平之上鉴定出了4%和28%以上的肽。

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