Evidence map›Paper›PMID 26140928›Full record

ArticleDatabase : the journal of biological databases and curation2015

EvoDB: a database of evolutionary rate profiles, associated protein domains and phylogenetic trees for PFAM-A.

Andrew Ndhlovu, Pierre M Durand, Scott Hazelhurst

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 at 2 institutions in 2 countries.

Andrew NdhlovuEvolutionary Medicine Laboratory, Department of Molecular Medicine and Haematology, Faculty of Health Sciences, Sydney Brenner Institute of Molecular Bioscience, The Mount, 9 Jubilee Road, Parktown 2193, Johannesburg, South Africa, andrew.ndhlovu@students.wits.ac.za.
Pierre M DurandEvolutionary Medicine Laboratory, Department of Molecular Medicine and Haematology, Faculty of Health Sciences, Sydney Brenner Institute of Molecular Bioscience, The Mount, 9 Jubilee Road, Parktown 2193, Johannesburg, South Africa, Department of Biodiversity and Conservation Biology, Faculty of Natural Sciences, University of the Western Cape, Private Bag X17, Belville, Cape Town 7530, South Africa, Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA and.
Scott HazelhurstSydney Brenner Institute of Molecular Bioscience, The Mount, 9 Jubilee Road, Parktown 2193, Johannesburg, South Africa, School of Electrical and Information Engineering, University of the Witwatersrand, The Mount, 9 Jubilee Road, Parktown 2193, Johannesburg, South Africa.
University of the Western Cape · ZAUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary rate at codon sites across protein-coding nucleotide sequences represents a valuable tier of information for aligning sequences, inferring homology and constructing phylogenetic profiles. However, a comprehensive resource for cataloguing the evolutionary rate at codon sites and their corresponding nucleotide and protein domain sequence alignments has not been developed. To address this gap in knowledge, EvoDB (an Evolutionary rates DataBase) was compiled. Nucleotide sequences and their corresponding protein domain data including the associated seed alignments from the PFAM-A (protein family) database were used to estimate evolutionary rate (ω = dN/dS) profiles at codon sites for each entry. EvoDB contains 98.83% of the gapped nucleotide sequence alignments and 97.1% of the evolutionary rate profiles for the corresponding information in PFAM-A. As the identification of codon sites under positive selection and their position in a sequence profile is usually the most sought after information for molecular evolutionary biologists, evolutionary rate profiles were determined under the M2a model using the CODEML algorithm in the PAML (Phylogenetic Analysis by Maximum Likelihood) suite of software. Validation of nucleotide sequences against amino acid data was implemented to ensure high data quality. EvoDB is a catalogue of the evolutionary rate profiles and provides the corresponding phylogenetic trees, PFAM-A alignments and annotated accession identifier data. In addition, the database can be explored and queried using known evolutionary rate profiles to identify domains under similar evolutionary constraints and pressures. EvoDB is a resource for evolutionary, phylogenetic studies and presents a tier of information untapped by current databases.

Indexed as

AlgorithmsDatabases, ProteinEvolution, MolecularPhylogenySoftwareProtein Structure, TertiarySequence Analysis, Protein

Identifiers

PMID26140928
PMCPMC4492416
OpenAlexW2262755422

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.