Evidence map›Paper›PMID 29797000›Full record

ArticleJournal of cheminformatics2018

Sachem: a chemical cartridge for high-performance substructure search.

Miroslav Kratochvíl, Jiří Vondrášek, Jakub Galgonek

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Rhea, the reaction knowledgebase in 2022.Nucleic acids research · 2022
    Article
  8. IDSM ChemWebRDF: SPARQLing small-molecule datasets.Journal of cheminformatics · 2021
    Article
  9. CyByJournal of cheminformatics · 2019
    Article
  10. Interoperable chemical structure search service.Journal of cheminformatics · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Miroslav KratochvílInstitute of Organic Chemistry and Biochemistry of the CAS, Flemingovo náměstí 2, Prague 6, 166 10, Czech Republic.
Jiří VondrášekInstitute of Organic Chemistry and Biochemistry of the CAS, Flemingovo náměstí 2, Prague 6, 166 10, Czech Republic.
Jakub GalgonekInstitute of Organic Chemistry and Biochemistry of the CAS, Flemingovo náměstí 2, Prague 6, 166 10, Czech Republic. galgonek@iocb.cas.cz.

Funding

Institute of Organic Chemistry and Biochemistry of the CAS (RVO) 61388963Ministerstvo Školství, Mládeže a Tělovýchovy LM2015047
6 · The paper itself

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.

Indexed as

Inverted indicesMolecule cartridgesSmall molecule databasesSubstructure search

Identifiers

PMID29797000
PMCPMC5966370

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.