De Novo Molecular Structure Determination from IM-MS Data
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Solution Overview
Problem
Current methods for determining molecular and molecular assembly structures from ion mobility-mass spectrometry (IM-MS) data are limited in extracting detailed structural information due to the inability to capture transient conformations and rely on ensemble-averaged structures, which hampers drug development for diseases like Alzheimer's and Parkinson's.
Innovation Solution
The method involves determining candidate structures based on a Lewis structure, predicting time-resolved IM-MS spectra, and assigning molecular structures by measuring similarity between predicted and measured spectra, allowing for de novo elucidation of molecular and assembly structures without prior structural knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional techniques (NMR, x-ray spectroscopy) are used to determine protein structures, then ensemble-averaged structures can be obtained, but transient conformations and co-existing protein structures cannot be captured
Solution Approach 1:
The patent replaces traditional mechanical/physical structural determination methods (NMR, x-ray) with a computational approach using ion mobility-mass spectrometry data. The system uses simulated annealing and molecular dynamics simulations to generate protein structures from IM-MS collision cross section data, enabling capture of transient conformations that traditional methods miss.
2Adaptability or versatility
If IMS-MS is used to study protein structures, then transient conformations can be detected, but detailed molecular structures cannot be extracted due to orientation-averaged cross section measurements
Solution Approach 1:
The patent introduces computational models and simulated annealing algorithms as intermediaries between the IM-MS data and molecular structure determination. The system generates multiple candidate structures, calculates their collision cross sections, and compares them with experimental data to identify the most likely transient conformations, thereby extracting detailed structural information from orientation-averaged measurements.
Solution Approach 2:
The patent creates computational copies (modeled structures) of the protein molecules and simulates their behavior under various conditions. By generating multiple candidate structures and their corresponding collision cross sections, the system can identify which copies match the experimental IM-MS data, thereby determining the actual molecular structure without directly observing it.
3Measurement precision
If current IMS-MS data analysis methods are used, then structural information can be obtained, but the methods rely on coupling with traditional techniques and cannot exploit the full potential of IMS-MS
Solution Approach 1:
The patent enables IMS-MS to determine protein structures independently without requiring coupling with traditional structural biology techniques. The system uses simulated annealing, molecular dynamics simulations, and collision cross section calculations based solely on IM-MS data to generate and validate protein structures, making the technique self-sufficient and capable of standalone structural determination.
Data Source
AI summary
Provided are systems and methods for de novo determinations of molecular structures or assemblies, including biologically relevant protein structures or assemblies, from IMS-MS data alone. The systems and methods perform a comprehensive conformational analysis of a molecule or molecular assembly, predict IMS-MS spectra for the molecule or molecular assembly, and report structures that best explain experimental spectra for the molecule or molecular assembly.