Evidence map›Paper›PMID 30764761›Full record

ArticleBMC bioinformatics2019

MultiDomainBenchmark: a multi-domain query and subject database suite.

Hyrum D Carroll, John L Spouge, Mileidy Gonzalez

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hyrum D CarrollTSYS School of Computer Science, Columbus State University, 4225 University Avenue, Columbus, 31907, GA, USA. carroll_hyrum@columbusstate.edu.ORCID http://orcid.org/0000-0002-1917-2131
John L SpougeNational Center for Biotechnology Information, Bethesda, National Institutes of Health, 8600 Rockville Pike, Bethesda, 20894, MD, USA.
Mileidy GonzalezNational Center for Biotechnology Information, Bethesda, National Institutes of Health, 8600 Rockville Pike, Bethesda, 20894, MD, USA.

Funding

Mathematically Rigorous Results In Sequence Matching.ZIALM000088 · NLM · NATIONAL LIBRARY OF MEDICINE · PI SPOUGE, JOHN · 2009 to 2020
$1.7M
6 · The paper itself

Abstract

backgroundGenetic sequence database retrieval benchmarks play an essential role in evaluating the performance of sequence searching tools. To date, all phylogenetically diverse benchmarks known to the authors include only query sequences with single protein domains. Domains are the primary building blocks of protein structure and function. Independently, each domain can fulfill a single function, but most proteins (>80% in Metazoa) exist as multi-domain proteins. Multiple domain units combine in various arrangements or architectures to create different functions and are often under evolutionary pressures to yield new ones. Thus, it is crucial to create gold standards reflecting the multi-domain complexity of real proteins to more accurately evaluate sequence searching tools. DESCRIPTION: This work introduces MultiDomainBenchmark (MDB), a database suite of 412 curated multi-domain queries and 227,512 target sequences, representing at least 5108 species and 1123 phylogenetically divergent protein families, their relevancy annotation, and domain location. Here, we use the benchmark to evaluate the performance of two commonly used sequence searching tools, BLAST/PSI-BLAST and HMMER. Additionally, we introduce a novel classification technique for multi-domain proteins to evaluate how well an algorithm recovers a domain architecture.

conclusionMDB is publicly available at http://csc.columbusstate.edu/carroll/MDB/ .

Indexed as

AlgorithmsBenchmarkingDatabases, ProteinAmino Acid SequencePhylogenyProteinsProtein Structure, TertiarySequence AlignmentProteinsBenchmarkMulti-domainQuery and subject

Identifiers

PMID30764761
PMCPMC6376684

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LicenceCC BY
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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.