PASS：短肽序列的从头组装器
PASS: De novo assembler for short peptide sequences
AI总结：
PASS是一种短肽序列的从头组装器，利用LC-MS产生的肽段数据重建蛋白质靶标，生成100个氨基酸以上的重叠群，序列同一性达93.1%–99.1%，有助于下游样品表征。
摘要：
在序列水平上表征蛋白质的能力对生物学研究至关重要。目前，蛋白质测序的主要方法是通过液相色谱-质谱联用（LC-MS），其中蛋白质经酶解消化还原为其组成肽段，随后在LC-MS仪器上进行分析。由该分析产生的短肽序列被用于表征样品的原始蛋白质含量。在此，我们提出PASS，一种用于短肽序列的从头组装器，可用于重建蛋白质靶标的大部分区域，这一步骤有助于下游样品表征工作。我们展示了在足够的肽段序列覆盖度且几乎无需额外序列处理的情况下，PASS如何将蛋白质序列重建为相对较大的（100个氨基酸或更长）重叠群，这些重叠群与参考抗体轻链和重链蛋白质具有高（93.1%–99.1%）的序列同一性。可用性：PASS在GNU通用公共许可证第3版（GPLv3）下发布，并可从https://github.com/warrenlr/PASS公开获取。
英文摘要：
The ability to characterize proteins at sequence-level resolution is vital to biological research. Currently, the leading method for protein sequencing is by liquid chromatography mass spectrometry (LC-MS) whereas proteins are reduced to their constituent peptides by enzymatic digest and subsequently analyzed on an LC-MS instrument. The short peptide sequences that result from this analysis are used to characterize the original protein content of the sample. Here we present PASS, a de novo assembler for short peptide sequences that can be used to reconstruct large portions of protein targets, a step that can facilitate downstream sample characterization efforts. We show how, with adequate peptide sequence coverage and little-to-no additional sequence processing, PASS reconstructs protein sequences into relatively large (100 amino acid or longer) contigs having high (93.1 - 99.1%) sequence identity to reference antibody light and heavy chain proteins. Availability: PASS is released under the GNU General Public License Version 3 (GPLv3) and is publicly available from https://github.com/warrenlr/PASS
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
