ArticleJournal of cheminformatics2018
Sachem: a chemical cartridge for high-performance substructure search.
Article in Journal of cheminformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The IDSM mass spectrometry extension: searching mass spectra using SPARQL.Bioinformatics (Oxford, England) · 2024Article
- A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery.ACS central science · 2024Article
- A comparison of approaches to accessing existing biological and chemical relational databases via SPARQL.Journal of cheminformatics · 2023Review
- Extending inherited metabolic disorder diagnostics with biomarker interaction visualizations.Orphanet journal of rare diseases · 2023Article
- Annotation of biologically relevant ligands in UniProtKB using ChEBI.Bioinformatics (Oxford, England) · 2023Article
- Article
- Rhea, the reaction knowledgebase in 2022.Nucleic acids research · 2022Article
- IDSM ChemWebRDF: SPARQLing small-molecule datasets.Journal of cheminformatics · 2021Article
- CyByJournal of cheminformatics · 2019Article
- Interoperable chemical structure search service.Journal of cheminformatics · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundStructure search is one of the valuable capabilities of small-molecule databases. Fingerprint-based screening methods are usually employed to enhance the search performance by reducing the number of calls to the verification procedure. In substructure search, fingerprints are designed to capture important structural aspects of the molecule to aid the decision about whether the molecule contains a given substructure. Currently available cartridges typically provide acceptable search performance for processing user queries, but do not scale satisfactorily with dataset size.
resultsWe present Sachem, a new open-source chemical cartridge that implements two substructure search methods: The first is a performance-oriented reimplementation of substructure indexing based on the OrChem fingerprint, and the second is a novel method that employs newly designed fingerprints stored in inverted indices. We assessed the performance of both methods on small, medium, and large datasets containing 1, 10, and 94 million compounds, respectively. Comparison of Sachem with other freely available cartridges revealed improvements in overall performance, scaling potential and screen-out efficiency.
conclusionsThe Sachem cartridge allows efficient substructure searches in databases of all sizes. The sublinear performance scaling of the second method and the ability to efficiently query large amounts of pre-extracted information may together open the door to new applications for substructure searches.
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