Evidence map›Paper›PMID 37461051›Full record

ArticleGenome biology2023

Sensitive inference of alignment-safe intervals from biodiverse protein sequence clusters using EMERALD.

Andreas Grigorjew, Artur Gynter, Fernando H C Dias, Benjamin Buchfink, Hajk-Georg Drost, Alexandru I Tomescu

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Andreas Grigorjew *Department of Computer Science, University of Helsinki, Helsinki, Finland.
Artur Gynter *Department of Computer Science, University of Helsinki, Helsinki, Finland.
Fernando H C DiasDepartment of Computer Science, University of Helsinki, Helsinki, Finland.
Benjamin BuchfinkComputational Biology Group, Max Planck Institute for Biology, Tübingen, Germany.ORCID 0000-0001-7658-731X
Hajk-Georg Drost *Computational Biology Group, Max Planck Institute for Biology, Tübingen, Germany. hajk-georg.drost@tuebingen.mpg.de.ORCID 0000-0002-1567-306X
Alexandru I Tomescu *Department of Computer Science, University of Helsinki, Helsinki, Finland. alexandru.tomescu@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequence alignments are the foundations of life science research, but most innovation so far focuses on optimal alignments, while information derived from suboptimal solutions is ignored. We argue that one optimal alignment per pairwise sequence comparison is a reasonable approximation when dealing with very similar sequences but is insufficient when exploring the biodiversity of the protein universe at tree-of-life scale. To overcome this limitation, we introduce pairwise alignment-safety to uncover the amino acid positions robustly shared across all suboptimal solutions. We implement EMERALD, a software library for alignment-safety inference, and apply it to 400k sequences from the SwissProt database.

Indexed as

AlgorithmsSoftwareAmino Acid SequenceAnimalsBirdsProteinsSequence AlignmentProteinsDynamic programmingNeedleman-Wunsch algorithmProtein foldingSequence alignmentSuboptimal alignments

Identifiers

PMID37461051
PMCPMC10351170

What OpenQuestion holds

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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.