Evidence map›Paper›PMID 11472630›Full record

ArticleBMC bioinformatics2001

mRNA:guanine-N7 cap methyltransferases: identification of novel members of the family, evolutionary analysis, homology modeling, and analysis of sequence-structure-function relationships.

J M Bujnicki, M Feder, M Radlinska, L Rychlewski

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Epigenetic Signaling and RNA Regulation in Cardiovascular Diseases.International journal of molecular sciences · 2020
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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

4 authors.

J M BujnickiBioinformatics Laboratory, International Institute of Cell and Molecular Biology, ul, ks, Trojdena 4, 02-109 Warsaw, Poland. iamb@bioinfo.pl
M Feder
M Radlinska
L Rychlewski

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 5'-terminal cap structure plays an important role in many aspects of mRNA metabolism. Capping enzymes encoded by viruses and pathogenic fungi are attractive targets for specific inhibitors. There is a large body of experimental data on viral and cellular methyltransferases (MTases) that carry out guanine-N7 (cap 0) methylation, including results of extensive mutagenesis. However, a crystal structure is not available and cap 0 MTases are too diverged from other MTases of known structure to allow straightforward homology-based interpretation of these data.

resultsWe report a 3D model of cap 0 MTase, developed using sequence-to-structure threading and comparative modeling based on coordinates of the glycine N-methyltransferase. Analysis of the predicted structural features in the phylogenetic context of the cap 0 MTase family allows us to rationalize most of the experimental data available and to propose potential binding sites. We identified a case of correlated mutations in the cofactor-binding site of viral MTases that may be important for the rational drug design. Furthermore, database searches and phylogenetic analysis revealed a novel subfamily of hypothetical MTases from plants, distinct from "orthodox" cap 0 MTases.

conclusionsComputational methods were used to infer the evolutionary relationships and predict the structure of Eukaryotic cap MTase. Identification of novel cap MTase homologs suggests candidates for cloning and biochemical characterization, while the structural model will be useful in designing new experiments to better understand the molecular function of cap MTases.

Indexed as

Evolution, MolecularRNA CapsAmino Acid MotifsAmino Acid SequenceAnimalsBinding SitesComputational BiologyConserved SequenceDatabases, ProteinGiardia lambliaGuanineHumansMethyltransferasesModels, MolecularMolecular Sequence DataMultigene FamilyGuanineMethyltransferasesmRNA (guanine(N7))-methyltransferaseProtozoan ProteinsRNA CapsSaccharomyces cerevisiae Proteins

Identifiers

PMID11472630
PMCPMC35267

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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.