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Efficient maximum common subgraph (MCS) searching of large chemical databases.

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Summary

Efficient maximum common subgraph (MCS) searching of large chemical databases. is a scholarly conference abstract[1].

Key Facts

  • Efficient maximum common subgraph (MCS) searching of large chemical databases. authored Roger Sayle[2].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s instance of is recorded as scholarly conference abstract[3].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s copyright license is recorded as Creative Commons Attribution 2.0 Generic[4].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s page is recorded as O15-O15[5].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s DOI is recorded as 10.1186/1758-2946-5-S1-O15[6].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s issue is recorded as Suppl 1[7].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s volume is recorded as 5[8].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s publication date is recorded as +2013-03-22T00:00:00Z[9].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s main subject is recorded as maximum common subgraph[10].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s PMC publication ID is recorded as 3606195[11].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s published in is recorded as Journal of Cheminformatics[12].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s title is recorded as Efficient maximum common subgraph (MCS) searching of large chemical databases.[13].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s author name string is recorded as Jose Batista[14].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s author name string is recorded as J Andrew Grant[15].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s cites work is recorded as Rapid subgraph search using parallelism[16].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s Dimensions publication ID is recorded as 1018654633[17].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s copyright status is recorded as copyrighted[18].
  • Efficient maximum common subgraph (MCS) searching of large chemical databases.'s DBLP publication ID is recorded as journals/jcheminf/SayleBG13[19].

Body

Designation and Status

Efficient maximum common subgraph (MCS) searching of large chemical databases.'s instance of is recorded as scholarly conference abstract[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  3. [4] ↑ . April 2022 Public Data File from Crossref. wikidata.org.
  4. [5] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  5. [6] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  6. [7] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  7. [8] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  8. [9] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  11. [12] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  12. [13] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  13. [14] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  14. [15] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  15. [16] ↑ . PubMed Central. Retrieved . eutils.ncbi.nlm.nih.gov. Provenance: wikidata.org.
  16. [17] ↑ . SciGraph. Retrieved . scigraph.springernature.com. Provenance: wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . DBLP Dataset 2021-01-02. Retrieved . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Efficient maximum common subgraph (MCS) searching of large chemical databases.. Retrieved October 15, 2026, from https://4ort.xyz/entity/efficient-maximum-common-subgraph-mcs-searching-of-large-chemical-databases-
MLA “Efficient maximum common subgraph (MCS) searching of large chemical databases..” 4ort.xyz Knowledge Graph, 4ort.xyz, 15 Oct. 2026, https://4ort.xyz/entity/efficient-maximum-common-subgraph-mcs-searching-of-large-chemical-databases-.
BibTeX @misc{4ortxyz_efficient-maximum-common-subgraph-mcs-searching-of-large-chemical-databases-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient maximum common subgraph (MCS) searching of large chemical databases.}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-maximum-common-subgraph-mcs-searching-of-large-chemical-databases-}, note = {Accessed: 2026-10-15}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient maximum common subgraph (MCS) searching of large chemical databases. — https://4ort.xyz/entity/efficient-maximum-common-subgraph-mcs-searching-of-large-chemical-databases- (retrieved 2026-10-15)

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