Suppr超能文献

CharmeRT:通过嵌合谱图鉴定和保留时间预测来提高肽鉴定。

CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction.

机构信息

Bioinformatics Research Group , University of Applied Sciences Upper Austria , Softwarepark 11 , 4232 Hagenberg , Austria.

出版信息

J Proteome Res. 2018 Aug 3;17(8):2581-2589. doi: 10.1021/acs.jproteome.7b00836. Epub 2018 Jun 28.

Abstract

Coeluting peptides are still a major challenge for the identification and validation of MS/MS spectra, but carry great potential. To tackle these problems, we have developed the here presented CharmeRT workflow, combining a chimeric spectra identification strategy implemented as part of the MS Amanda algorithm with the validation system Elutator, which incorporates a highly accurate retention time prediction algorithm. For high-resolution data sets this workflow identifies 38-64% chimeric spectra, which results in up to 63% more unique peptides compared to a conventional single search strategy.

摘要

共洗脱肽仍然是鉴定和验证 MS/MS 谱的主要挑战,但具有巨大的潜力。为了解决这些问题,我们开发了这里提出的 CharmeRT 工作流程,该流程结合了作为 MS Amanda 算法一部分实现的嵌合谱识别策略和验证系统 Elutator,后者包含高度准确的保留时间预测算法。对于高分辨率数据集,该工作流程可识别 38%-64%的嵌合谱,与传统的单一搜索策略相比,可获得多达 63%的更多独特肽。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88ef/6079931/414246dd7612/pr-2017-008365_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验