Protein Docking Accuracy via Iterative Multi-Method Convergence
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Solution Overview
Problem
Existing methods for protein docking suffer from low docking accuracy, which hinders their effectiveness in biological applications such as antigen-antibody docking, peptide-protein docking, and disease mechanism research.
Innovation Solution
A method involving multiple rounds of protein docking using at least two molecular docking methods, such as rigid and flexible docking, until an iteration end condition is satisfied, to generate a final complex conformation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single molecular docking method is used, then the computational cost is low, but the docking accuracy is insufficient
Solution Approach 1:
The patent combines multiple molecular docking methods (rigid docking, flexible docking, and other docking approaches) into a unified iterative framework. Different docking methods are merged to work together in sequence, with each method contributing its strengths to the overall docking accuracy while sharing computational resources efficiently.
Solution Approach 2:
The patent implements a dynamic iterative process where the docking method selection and parameters are adjusted across multiple rounds. The system dynamically switches between different docking strategies based on convergence criteria and intermediate results, allowing the computational approach to adapt and evolve toward the optimal solution.
2Measurement precision
If multiple molecular docking methods are used in iteration, then the docking accuracy is improved, but the computational time increases
Solution Approach 1:
The patent performs preliminary docking using faster methods (such as rigid docking) in early iterations to quickly narrow down the search space and identify promising candidate structures. This preliminary action reduces the computational burden of subsequent more time-consuming flexible docking simulations by limiting them to a smaller set of pre-selected candidates.
Solution Approach 2:
The iterative framework maintains continuous useful action by systematically reusing and refining results from previous docking rounds. Intermediate structures and energy calculations from earlier iterations are preserved and building upon in subsequent iterations, avoiding redundant computations while progressively improving accuracy through multiple passes.
Data Source
AI summary
A method for protein docking includes docking a first protein and a second protein according to at least two molecular docking methods to generate a complex conformation in each round of iteration; recognizing that an iteration end condition is not satisfied, continuing a next round of iteration until the iteration end condition is satisfied, and obtaining a final complex conformation.