Evidence map›Paper›PMID 37735566›Full record

ArticleNature methods2023

EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions.

Antonio J M Ribeiro, Ioannis G Riziotis, Jonathan D Tyzack, Neera Borkakoti, Janet M Thornton

Abstract read
In one paragraph

Article in Nature methods, 2023. 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

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

10 citing papers in PubMed.

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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

5 authors.

Antonio J M RibeiroEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. ribeiro@ebi.ac.uk.ORCID http://orcid.org/0000-0002-2533-1231
Ioannis G RiziotisEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-4035-1839
Jonathan D TyzackEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Neera BorkakotiEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Janet M ThorntonEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. thornton@ebi.ac.uk.ORCID http://orcid.org/0000-0003-0824-4096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the years, hundreds of enzyme reaction mechanisms have been studied using experimental and simulation methods. This rich literature on biological catalysis is now ripe for use as the foundation of new knowledge-based approaches to investigate enzyme mechanisms. Here, we present a tool able to automatically infer mechanistic paths for a given three-dimensional active site and enzyme reaction, based on a set of catalytic rules compiled from the Mechanism and Catalytic Site Atlas, a database of enzyme mechanisms. EzMechanism (pronounced as 'Easy' Mechanism) is available to everyone through a web user interface. When studying a mechanism, EzMechanism facilitates and improves the generation of hypotheses, by making sure that relevant information is considered, as derived from the literature on both related and unrelated enzymes. We validated EzMechanism on a set of 62 enzymes and have identified paths for further improvement, including the need for additional and more generic catalytic rules.

Indexed as

Computational BiologyEnzymesSoftwareAlgorithmsBiocatalysisCatalysisCatalytic DomainDatabases, ProteinModels, MolecularUser-Computer InterfaceEnzymes

Identifiers

PMID37735566
PMCPMC10555830

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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.