Drug Resistance Mutation Database Screening for Faster Updates
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Solution Overview
Problem
Current drug resistance databases rely on manual organization, leading to untimely updates, incomplete, and inaccurate drug resistance mutation information, which delays effective treatment by delaying phenotypic resistance testing.
Innovation Solution
A method and apparatus for constructing a drug resistance database that automates the organization process by acquiring and screening classification object sets based on object weights and sample mutation vectors, using gene and mutation site dimensions to improve accuracy and comprehensiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual organization method is used to construct drug resistance database, then the database can be built with simple process, but the update timeliness and information completeness are poor
Solution Approach 1:
The patent replaces the manual mechanical organization process with an automated computer-based system. The construction module automatically acquires mutation information from multiple data sources, processes it through standardized workflows, and generates the drug resistance database without manual intervention, thereby improving information accuracy and completeness while maintaining ease of construction through automation.
Solution Approach 2:
The construction module is designed to universally acquire mutation information from multiple different data sources (literatures, databases, clinical data) and process various types of mutation data through a unified standardization process, enabling the system to handle diverse input formats and sources while maintaining consistent output quality.
2Ease of manufacture
If manual organization method is used to construct drug resistance database, then the construction process is simple, but the update timeliness is delayed
Solution Approach 1:
The automated construction module replaces manual data collection and organization processes with computer-based automation. The module can continuously acquire mutation information from multiple sources and update the database in real-time or near-real-time, dramatically reducing update time from weeks or months to minutes or hours while maintaining construction simplicity through standardized automated workflows.
Solution Approach 2:
The construction module is designed to continuously acquire mutation information from multiple data sources and update the database without interruption. The automated system operates continuously to monitor new mutations, validate them against existing data, and incorporate validated information into the database, ensuring timely updates without manual intervention gaps.
3Productivity
If automated construction method is used to improve database efficiency, then the construction speed increases, but the system complexity increases
Solution Approach 1:
The automated construction system is divided into distinct functional modules: an acquisition module that collects mutation information from multiple sources, a construction module that processes and standardizes the data, and a storage module that organizes the final database. This segmentation allows each module to perform its specific function efficiently while keeping the overall system manageable through clear modular boundaries and standardized interfaces.
Data Source
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AI summary
Disclosed are a method and apparatus for constructing a drug resistance database, a drug resistance testing method and apparatus, and a device. The method comprises: acquiring a preset classification object set of a target drug corresponding to each of at least one classification object dimension; acquiring, for each classification object dimension, an object feature set of the target drug separately corresponding to each preset classification object in the preset classification object set of the classification object dimension; screening, based on an object weight and a sample mutation vector set in each object feature set, the preset classification object set, to obtain a target classification object set; and based on at least one target classification object set, constructing in a drug resistance database a standard drug resistance mutation information set corresponding to the target drug, wherein each classification object dimension comprises a gene dimension and/or a mutation site dimension. Embodiments of the present invention improve the efficiency and accuracy of constructing a drug resistance database.