Dell products l.p. (20240347143). METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA PROCESSING simplified abstract
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METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA PROCESSING
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METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240347143 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA PROCESSING
The abstract of this patent application describes a method, an electronic device, and a computer program product for data processing in the field of computer chemistry. The method involves acquiring state information of a ligand molecule, determining additional state information and a feedback value using a trained reinforcement learning model, and outputting the additional state information based on a predetermined threshold of the feedback value.
- Acquiring feature representation of state information of a ligand molecule
- Determining additional state information and feedback value using a trained reinforcement learning model
- Outputting additional state information based on a predetermined threshold of the feedback value
- Saves computational resources and time costs for experimentation in computer chemistry
- Optimizes user experience by providing efficient data processing solutions
Potential Applications: - Drug discovery and development - Protein-ligand interaction analysis - Molecular modeling and simulation
Problems Solved: - Streamlining data processing in computer chemistry - Enhancing efficiency in analyzing molecular interactions - Improving user experience in computational chemistry experiments
Benefits: - Saves computational resources and time - Enhances accuracy in analyzing molecular interactions - Optimizes user experience in computer chemistry experiments
Commercial Applications: Title: "Efficient Data Processing Solution for Computer Chemistry Applications" This technology can be utilized in pharmaceutical companies, research institutions, and academic laboratories for drug discovery, molecular modeling, and protein-ligand interaction studies. It can improve efficiency, accuracy, and user experience in computational chemistry experiments.
Questions about the technology: 1. How does this method improve the efficiency of data processing in computer chemistry? 2. What are the potential implications of using a trained reinforcement learning model in molecular interaction analysis?
Frequently Updated Research: Researchers are constantly exploring new algorithms and models to enhance the efficiency and accuracy of data processing in computer chemistry. Stay updated on advancements in reinforcement learning and molecular interaction analysis for potential improvements in this technology.
Original Abstract Submitted
embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data processing. the method may include acquiring a feature representation of state information of a ligand molecule, where the state information comprises at least position information and directional information of the ligand molecule. the method may further include determining, by using a trained reinforcement learning model, additional state information and a feedback value of the ligand molecule based on the feature representation of the state information and a feature representation of state information of a receptor molecule corresponding to the ligand molecule. in addition, the method may further include outputting the additional state information responsive to determining that the feedback value reaches a predetermined threshold. compared with conventional computer chemistry solutions, the present disclosure can save substantial computational resources and time costs for experimentation, thereby optimizing user experience.
