Molecular Docking Candidate Region Segmentation
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Solution Overview
Problem
Conventional molecular docking methods require a large amount of computing resources due to the complex spatial structures and physicochemical properties of molecules, making them inefficient for determining intermolecular binding.
Innovation Solution
A method that determines a first feature representation for each molecule, identifies a candidate region for docking based on these representations, and calculates the docking result for multiple candidate positions within this region, rather than across the entire molecule, thereby reducing computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional molecular docking methods are used to determine interactions between molecules, then the docking results can be obtained, but a large quantity of computing resources is required
Solution Approach 1:
The patent divides the molecular docking process into two stages: first identifying a candidate region containing potential binding sites, then performing detailed docking calculations only within this restricted region. This segmentation of the search space from the entire molecular structure to a localized candidate region significantly reduces computational resources while maintaining docking accuracy.
Solution Approach 2:
The patent performs preliminary identification of a candidate region before conducting the actual docking calculations. By pre-defining the search boundaries based on molecular features and interaction potentials, the method eliminates unnecessary computations in non-binding regions, thereby reducing overall computing resource requirements.
2Reliability
If the entire region is searched for docking positions, then all possible binding sites are covered, but the computational load increases significantly
Solution Approach 1:
The search space is segmented into a candidate region and the rest of the molecular structure. The candidate region is identified using molecular features and interaction potentials, allowing the method to focus computational efforts only on relevant areas while maintaining coverage of all potential binding sites.
Solution Approach 2:
Instead of performing exhaustive docking calculations across the entire molecular surface, the method applies partial action by limiting calculations to the identified candidate region. This approach achieves sufficient binding site coverage without the excessive computational cost of complete exhaustive search.
Data Source
AI summary
Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for molecular docking. The method includes: determining a first feature representation characterizing a first molecule and a second feature representation characterizing a second molecule; determining a candidate region for the first molecule based at least on the first feature representation and the second feature representation, the candidate region comprising multiple candidate positions for docking the first molecule with the second molecule; and for each candidate position of the multiple candidate positions, determining a result of docking the first molecule with the second molecule at the candidate position. With the solution of the present disclosure, it is possible to calculate the docking result for the candidate region for the first molecule rather than the entire region, thereby reducing the amount of computation.