Metadynamics Binding Site Discovery for Receptor Surface Traversal
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Solution Overview
Problem
Conventional new drug research and development faces challenges with long cycles, high costs, and low success rates, particularly in determining precise binding sites and binding patterns for newly discovered proteins during target discovery.
Innovation Solution
A metadynamics-based target discovery method that performs dynamics simulation on ligand and receptor structures with a configured bias potential, allowing the ligand to traverse the receptor surface, and calculates bias coefficients for binding sites to enhance the discovery of binding sites and conformation search range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional molecular dynamics simulation is used to search for binding sites, then the simulation can be performed with standard parameters, but the search range of receptor conformation is limited and calculation time is excessive
Solution Approach 1:
The patent applies metadynamics by introducing a bias potential that dynamically changes the energy landscape parameters during simulation. This modifies the effective temperature and energy barriers, enabling the ligand to traverse broader receptor conformations and access previously unreachable binding sites within reduced calculation time.
Solution Approach 2:
The simulation transitions from static or equilibrium dynamics to enhanced dynamic sampling through metadynamics. The bias potential continuously adapts during the simulation process, allowing the system to dynamically explore a wider range of receptor conformations and binding modes that would be inaccessible through conventional static analysis.
2Measurement precision
If the ligand structure is allowed to traverse the entire receptor surface, then more binding sites can be discovered, but the calculation complexity increases
Solution Approach 1:
The bias potential acts as an intermediary that mediates between the ligand and receptor interaction. It provides a controlled energy modulation that guides the ligand across the receptor surface, enabling precise binding site identification while managing calculation complexity through systematic energy adjustment rather than brute-force exploration.
Solution Approach 2:
The metadynamics method incorporates feedback mechanisms where the bias potential is continuously updated based on the ligand's position and interaction energy with the receptor. This feedback loop allows the system to adaptively focus computational resources on promising binding regions while maintaining overall precision in binding site identification.
3Reliability
If multiple binding sites are searched through multiple separate simulations, then each binding site can be analyzed in detail, but the total calculation amount increases significantly
Solution Approach 1:
The patent merges multiple separate binding site search simulations into a single enhanced dynamics simulation. By applying the bias potential throughout the entire simulation process, the system simultaneously explores multiple binding sites within one unified calculation, maintaining analytical reliability while dramatically reducing the total calculation amount required.
Solution Approach 2:
The bias potential performs preliminary action by pre-conditioning the energy landscape before the ligand binds to specific sites. This preliminary energy modulation prepares the system to efficiently locate and analyze multiple binding sites in sequence during a single simulation, avoiding the need for multiple separate high-cost simulations.
Data Source
AI summary
Embodiments of this application provide a metadynamics-based target discovery method and a related apparatus, and are applied to the fields of biology, medicine, and drug design. The method includes: performing dynamics simulation on a ligand structure and a receptor structure, to enable the ligand structure to traverse a surface of the receptor structure during the dynamics simulation; determining target information of binding sites of the ligand structure on the surface of the receptor structure; and outputting pocket information of the receptor structure based on sorting of the target information of the binding sites. In this process, a plurality of binding sites can be obtained through one traversal. In this way, a receptor conformation search range can be wider, a calculation amount is reduced, and binding site discovery efficiency is improved.