Chemical Library Identifier Ranking for Consistent Spectral Metadata
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Solution Overview
Problem
Existing frameworks for generating and searching metadata in spectral libraries face inconsistencies and conflicts due to the lack of cross-checking and prioritization of varying annotation types, leading to inconsistent and conflicting identifiers for the same compound.
Innovation Solution
A system employs an annotation ranking schema to prioritize and cross-check different annotation types, generating consistent identifiers that can be searched in an annotation-agnostic manner, ensuring consistency and accuracy across various spectral library architectures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple annotation types are used to describe chemical compounds in spectral libraries, then the versatility and information richness of the library is improved, but inconsistencies and conflicts arise between different annotation types leading to unreliable identifiers
Solution Approach 1:
The patent introduces an intermediary component called an 'annotation ranking schema' that mediates between multiple annotation types. This schema assigns hierarchical rankings to different annotation types (e.g., IUPAC names, CAS numbers, SMILES strings) and uses these rankings to resolve conflicts when generating identifiers. The intermediary translates diverse annotation types into a standardized, consistent identifier format by prioritizing higher-ranked annotation types over lower-ranked ones.
Solution Approach 2:
The system changes the parameter of annotation prioritization by dynamically adjusting the weight and ranking of different annotation types based on their reliability and standardization level. The annotation ranking schema modifies parameters such as 'annotation priority weight' and 'identifier generation preference' to ensure that more reliable annotation types dominate the identifier generation process, thereby maintaining consistency while accommodating diversity.
2Quantity of substance
If annotation data is collected from multiple sources without cross-checking, then the quantity and coverage of spectral library content is improved, but errors and inconsistencies propagate leading to reduced measurement precision
Solution Approach 1:
The patent implements a feedback mechanism through the annotation ranking schema that continuously evaluates and cross-checks annotation data from multiple sources. The system generates feedback signals that identify inconsistencies and errors in annotation data, then uses this feedback to adjust the ranking and prioritization of annotation types. This closed-loop feedback ensures that erroneous annotations are detected and corrected, maintaining high identifier accuracy while processing large volumes of library content.
Solution Approach 2:
The system performs preliminary cross-checking and validation of annotation data before it is fully integrated into the spectral library. The annotation ranking schema pre-processes annotation data by assigning initial rankings and identifying potential conflicts before identifier generation occurs. This preliminary action prevents error propagation and ensures that only validated, high-quality annotation data contributes to the final library content.
3Ease of manufacture
If traditional identifier generation methods are used without annotation prioritization, then the ease of implementation is maintained, but the productivity and efficiency of search and retrieval operations deteriorate
Solution Approach 1:
The patent segments the identifier generation process into distinct, modular components: annotation data collection, annotation ranking evaluation, conflict resolution, and identifier generation. The annotation ranking schema is implemented as a separate, independent module that can be configured and adjusted without affecting the core spectral library functionality. This segmentation maintains implementation simplicity while enabling efficient, prioritized processing that significantly improves search and retrieval productivity.
Data Source
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AI summary
Embodiments described herein relate to a process for generation of annotation-accessible library spectral content. A system can comprise a memory that stores, and a processor that executes, computer executable components. The computer executable components can comprise an identifying component that identifies chemical compound data describing a chemical compound, and a generating component that generates an identifier from the chemical compound data based on an annotation type of the compound data as compared to an annotation ranking schema.