Algorithms; Computers; Cross-Linking Reagents; Mass Spectrometry; Proteins; Software; Statistics as Topic
Protein-protein interactions are an important element in the understanding of protein function, and chemical cross-linking shotgun mass spectrometry is rapidly becoming a routine approach to identify these specific interfaces and topographical interactions. Protein cross-link data analysis is aided by dozens of algorithm choices, but hindered by a lack of a common format for representing results. Consequently, interoperability between algorithms and pipelines utilizing chemical cross-linking remains a challenge. pepXML is an open, widely-used format for representing spectral search algorithm results that has facilitated information exchange and pipeline development for typical shotgun mass spectrometry analyses. We describe an extension of this format to incorporate cross-linking spectral search results. We demonstrate application of the extension by representing results of multiple cross-linking search algorithms. In addition, we demonstrate adapting existing pepXML-supporting software pipelines to analyze protein cross-linking results formatted in pepXML. Graphical Abstract ᅟ.
Institute for Systems Biology
Hoopmann, Michael R; Mendoza, Luis; Deutsch, Eric W; Shteynberg, David; and Moritz, Robert L, "An Open Data Format for Visualization and Analysis of Cross-Linked Mass Spectrometry Results." (2016). Articles, Abstracts, and Reports. 758.