Molecular Dynamics Trajectory Segmentation for Interaction Energy
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Solution Overview
Problem
Current methods for calculating interaction energy between target molecules and drug candidate molecules are inefficient, as they require extensive calculations using quantum mechanics and are challenging due to the dynamic nature of protein-ligand complexes in vivo, where structures differ significantly over time and are influenced by water molecules, making it difficult to determine accurate interaction energy.
Innovation Solution
A method that divides the trajectory of a molecular dynamic simulation into groups based on molecular mechanic interaction energy, calculating an average value of interaction energy over time, extracting fragments with high interaction, and grouping by fluctuation range, followed by quantum mechanics calculations for representative structures to determine an expected value of interaction energy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If quantum mechanics method is used to calculate interaction energy for multiple time periods, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent segments the molecular dynamics trajectory into multiple groups based on structural similarity (RMSD thresholds). Instead of calculating quantum mechanics interaction energy for all frames, only representative structures from each group are selected for QM calculation. This segmentation reduces the number of QM calculations while maintaining statistical accuracy through group-based averaging.
Solution Approach 2:
The patent performs preliminary molecular mechanics calculations for all frames in the trajectory to assess structural stability and identify representative structures before performing quantum mechanics calculations. This preliminary screening using computationally inexpensive MM methods allows the system to pre-select which structures warrant expensive QM treatment, optimizing the overall calculation efficiency.
2Reliability
If molecular dynamics simulation is used to obtain in vivo complex structure, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent divides the complex MD simulation trajectory into manageable groups based on RMSD thresholds. Each group represents a structurally homogeneous subset of the trajectory, allowing the system to handle the complexity of dynamic structures by processing them in discrete, analyzable segments rather than as a continuous complex dataset.
Solution Approach 2:
The patent introduces molecular mechanics calculations as an intermediary step between MD simulation and quantum mechanics interaction energy calculation. The MM calculations provide preliminary structural assessment and facilitate the selection of representative structures, serving as a bridge that simplifies the transition from dynamic MD trajectories to static QM calculation inputs.
3Measurement precision
If many structures are selected for statistical processing, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent segments the trajectory into groups based on structural similarity and selects one representative structure per group for QM calculation. This approach maintains statistical accuracy by ensuring adequate sampling of conformational space through multiple groups, while dramatically reducing the number of QM calculations compared to processing every individual frame.
Solution Approach 2:
The patent uses molecular mechanics calculations as a surrogate or copy method to pre-assess structural properties of all trajectory frames. By using MM as a computationally inexpensive proxy, the system can evaluate many structures quickly and then perform expensive QM calculations only on the most representative subset, preserving statistical rigor while reducing overall computational burden.
Data Source
Figure 1~2B
Figure 2C~2D
Figure 3
AI summary
A method for calculating interaction energy between a target molecule and a drug candidate molecule, the method including: dividing a trajectory over a total time duration of a molecular dynamic simulation of the target molecule and the drug candidate molecule into groups based on molecular mechanic interaction energy between the target molecule and the drug candidate molecule calculated by molecular mechanics, where the method is a method for calculating the interaction energy between the target molecule and the drug candidate molecule using a calculator.