ASSESSMENT OF PEPTIDE IDENTIFICATION TOOLS FOR ETD FRAGMENTATION SPECTRA

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 基于质谱的肽序列分析和鉴定的长期主力无疑是使用碰撞诱导解离（CID）进行片段化分析。然而，最近广泛使用的替代裂解方法电子转移解离（ETD）促使许多研究人员探索这种方法的能力和局限性。ETD碎片化产生不同的碎片离子类型，并遵循与CID不同的规则，使得数据的可靠解释对于现有的分析软件来说有些挑战。在这项由生物分子资源设施协会蛋白质组信息学研究小组进行的研究中，正在评估现有算法从常见数据集中可靠地识别肽的ETD光谱的能力。参考数据集的一部分将在UCSF质谱设施内获得，该设施的专业知识将用于协助解释研究结果。研究结果将用于催化进一步改进研究社区可用于解释肽ETD MS/MS谱的软件工具。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The long standing workhorse of mass spectrometry based peptide sequence analyses and identifications is undoubtedly the use of collision induced dissociation (CID) for fragmentation analysis. However, the recent widespread availability of the alternative fragmentation method Electron Transfer Dissociation (ETD) has prompted many researchers to explore the capabilities and limitations of this approach. ETD fragmentation yields different fragment ion types and follows different rules to CID, rendering reliable interpretation of data somewhat challenging for existing analysis softwares. In this study, being performed by the Proteome Informatics Research Group of the Association of Biomolecular Resource Facilities, the ability of existing algorithms to reliably identify ETD spectra of peptides from a common dataset is being assessed. The reference dataset will be partly acquired within the UCSF Mass Spectrometry Facility and the Facility's expertise will be used to assist in the interpretation of the results of the study. The results will be used to catalyze the further improvement of software tools available to the research community for interpretation of peptide ETD MS/MS spectra.