MS2Planner

MS2Planner optimizes tandem mass spectrometry (MS/MS) data acquisition to improve fragmentation spectra collection and metabolite identification in metabolomics experiments using an Iterative Optimized Data Acquisition strategy.

Key Features:

• Iterative Optimization: Employs an Iterative Optimized Data Acquisition strategy to collect high-quality fragmentation spectra across multiple experimental runs.
• Topological Sorting: Utilizes topological sorting to prioritize and optimize the order of fragmentation spectra collection across runs.
• Enhanced Annotation Rate: Improves the annotation rate by 38.6% compared to traditional data-dependent acquisition (DDA) methods.
• Increased Sensitivity and Specificity: Demonstrates a 62.5% increase in sensitivity and a 9.4% improvement in specificity relative to DDA strategies.
• Reduced Redundancy and Improved Spectrum Quality: Iteratively refines acquisition to reduce redundant spectra and improve overall spectrum quality.

Scientific Applications:

• Untargeted Metabolomics Profiling: Optimizes fragmentation spectra collection for profiling a wide array of metabolites in complex biological matrices.
• Metabolite Identification and Discovery: Enhances identification and discovery of novel metabolites, supporting research in systems biology, pharmacology, and clinical diagnostics.

Methodology:

MS2Planner iteratively refines its data acquisition strategy—contrasted with DDA and DIA—using topological sorting to prioritize fragmentation collection, thereby reducing redundancy and improving spectrum quality.