Evidence map›Paper›PMID 29551288›Full record

ArticleStructure (London, England : 1993)2018

Ranking Enzyme Structures in the PDB by Bound Ligand Similarity to Biological Substrates.

Jonathan D Tyzack, Laurent Fernando, Antonio J M Ribeiro, Neera Borkakoti, Janet M Thornton

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Ten rules for a structural bioinformatic analysis.PLoS computational biology · 2025
    Article
  4. PDBe tools for an in-depth analysis of small molecules in the Protein Data Bank.Protein science : a publication of the Protein Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Finding enzyme cofactors in Protein Data Bank.Bioinformatics (Oxford, England) · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jonathan D TyzackEMBL-EBI, Wellcome Genome Campus, Hinxton CB10 1SD, UK. Electronic address: tyzack@ebi.ac.uk.
Laurent FernandoEMBL-EBI, Wellcome Genome Campus, Hinxton CB10 1SD, UK.
Antonio J M RibeiroEMBL-EBI, Wellcome Genome Campus, Hinxton CB10 1SD, UK.
Neera BorkakotiEMBL-EBI, Wellcome Genome Campus, Hinxton CB10 1SD, UK.
Janet M ThorntonEMBL-EBI, Wellcome Genome Campus, Hinxton CB10 1SD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are numerous applications that use the structures of protein-ligand complexes from the PDB, such as 3D pharmacophore identification, virtual screening, and fragment-based drug design. The structures underlying these applications are potentially much more informative if they contain biologically relevant bound ligands, with high similarity to the cognate ligands. We present a study of ligand-enzyme complexes that compares the similarity of bound and cognate ligands, enabling the best matches to be identified. We calculate the molecular similarity scores using a method called PARITY (proportion of atoms residing in identical topology), which can conveniently be combined to give a similarity score for all cognate reactants or products in the reaction. Thus, we generate a rank-ordered list of related PDB structures, according to the biological similarity of the ligands bound in the structures.

Indexed as

AcetylcholineAcetylcholinesteraseBinding SitesBiosimilar PharmaceuticalsHumansLigandsMolecular Docking SimulationProtein BindingSubstrate SpecificityUroporphyrinogen III SynthetaseUroporphyrinogensAcetylcholineAcetylcholinesteraseBiosimilar PharmaceuticalsLigandsUroporphyrinogen III SynthetaseUroporphyrinogensbiologicalboundcognateenzymeligandnativePDBrelevancesimilarity

Identifiers

PMID29551288
PMCPMC5890617

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Registered trials

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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.