AnnoSM: An Automated Annotation Tool for Determining the Substituent Modes on the Parent Skeleton Based on a Characteristic MS/MS Fragment Ion Library

Mass spectrometry (MS) is a powerful technology for the
structural
elucidation of known or unknown small molecules. However, the accuracy
of MS-based structure annotation is still limited due to the presence
of numerous isomers in complex matrices. There are still challenges
in automatically interpreting the fine structure of molecules, such
as the types and positions of substituents (substituent modes, SMs)
in the structure. In this study, we employed flavones, flavonols,
and isoflavones as examples to develop an automated annotation method
for identifying the SMs on the parent molecular skeleton based on
a characteristic MS/MS fragment ion library. Importantly, user-friendly
software AnnoSM was built for the convenience of researchers with
limited computational backgrounds. It achieved 76.87% top-1 accuracy
on the 148 authentic standards. Among them, 22 sets of flavonoid isomers
were successfully differentiated. Moreover, the developed method was
successfully applied to complex matrices. One such example is the
extract of Ginkgo biloba L. (EGB),
in which 331 possible flavonoids with SM candidates were annotated.
Among them, 23 flavonoids were verified by authentic standards. The
correct SMs of 13 flavonoids were ranked first on the candidate list.
In the future, this software can also be extrapolated to other classes
of compounds.