MS/MS Spectral Alignment for Structural Modification Site Localization
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Solution Overview
Problem
Current tandem mass spectrometry techniques struggle to accurately identify structural modifications in molecules, with existing methods failing to provide automated, site-specific information about structural differences, leaving manual interpretation as the primary means for chemists.
Innovation Solution
ModiFinder, an algorithm that aligns MS/MS spectra of known and unknown molecules to localize structural modifications by identifying shifted peaks and computing likelihood scores for potential modification sites, utilizing combinatorial fragmentation and domain knowledge to refine substructure assignments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual interpretation methods are used for structural modification identification, then chemists can obtain detailed structural information, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual chemical interpretation with an automated computational system that uses mass spectral alignment algorithms. The system automatically identifies shifted peaks, computes likelihood scores, and localizes modification sites without requiring manual analysis, thereby eliminating the time-consuming manual interpretation process while maintaining or improving identification accuracy.
Solution Approach 2:
The patent introduces an intermediate computational layer between raw mass spectral data and final structural conclusions. This intermediary system performs automated peak alignment, shift detection, and likelihood score computation, serving as a bridge that translates complex spectral data into interpretable structural modification information without requiring direct manual analysis.
2Loss of information
If existing mass spectrometry methods are used, then molecular structure identification is possible, but automated site-specific information about structural differences is not provided
Solution Approach 1:
The patent segments the molecular structure analysis by focusing specifically on identifying and localizing structural modifications rather than analyzing the entire molecule. By dividing the problem into peak alignment, shift detection, and modification site localization steps, the system automatically provides detailed site-specific structural difference information that existing methods fail to deliver.
Solution Approach 2:
The patent applies local quality analysis by computing likelihood scores for specific atoms or regions within the molecule where modifications occur. Rather than providing generic structural information, the system identifies precise local modification sites through spectral peak shifting patterns, delivering automated site-specific information that enhances structural difference detection.
3Measurement precision
If spectral peak alignment is performed between known and unknown molecules, then structural modification sites can be localized, but the computational complexity increases
Solution Approach 1:
The patent performs preliminary spectral alignment and peak matching before detailed modification site analysis. By pre-aligning spectra and identifying corresponding peaks between known and unknown molecules in advance, the system reduces the computational complexity of subsequent modification localization while maintaining high precision in identifying structural difference sites.
Data Source
AI summary
A computer-implemented method of analyzing mass spectrometry data is described. The computer-implemented method comprises: acquiring a first data representing a mass spectrometry measurement of an unknown molecule; identifying one or more shifts in spectral peaks in the first data by comparing the first data to a second data representing a mass spectrometry measurement of a known molecule; and deriving structural information of the unknown molecule based on the one or more shifts.