Evidence map›Paper›PMID 28472384›Full record

ArticleMolecular biology and evolution2017

SMS: Smart Model Selection in PhyML.

Vincent Lefort, Jean-Emmanuel Longueville, Olivier Gascuel

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 910 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
910citing papers in PubMed, 1 pooled it
–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

910 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Ancient and current association of theJournal of virology · 2026
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  18. Identification of a conserved gene family with an essential role inProceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Article

850 more citing papers are in PubMed but not listed here.

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.

Vincent LefortInstitut de Biologie Computationnelle, LIRMM, UMR 5506 - CNRS et Université de Montpellier, Montpellier, France.
Jean-Emmanuel LonguevilleInstitut de Biologie Computationnelle, LIRMM, UMR 5506 - CNRS et Université de Montpellier, Montpellier, France.
Olivier GascuelInstitut de Biologie Computationnelle, LIRMM, UMR 5506 - CNRS et Université de Montpellier, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model selection using likelihood-based criteria (e.g., AIC) is one of the first steps in phylogenetic analysis. One must select both a substitution matrix and a model for rates across sites. A simple method is to test all combinations and select the best one. We describe heuristics to avoid these extensive calculations. Runtime is divided by ∼2 with results remaining nearly the same, and the method performs well compared with ProtTest and jModelTest2. Our software, "Smart Model Selection" (SMS), is implemented in the PhyML environment and available using two interfaces: command-line (to be integrated in pipelines) and a web server (http://www.atgc-montpellier.fr/phyml-sms/).

Indexed as

AlgorithmsComputational BiologyLikelihood FunctionsModels, GeneticPhylogenySoftwareAIC and BIC criteriaheuristic proceduremodel selectionPhyMLweb server

Identifiers

PMID28472384
PMCPMC5850602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.