Evidence map›Paper›PMID 31584626›Full record

ArticleBioinformatics (Oxford, England)2020

Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs.

Tanvir Alam, Meshari Alazmi, Rayan Naser, Franceline Huser, Afaque A Momin, Veronica Astro, SeungBeom Hong, Katarzyna W Walkiewicz, Christian G Canlas, Raphaël Huser and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

18 authors at 2 institutions in 2 countries.

Tanvir AlamComputational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
Meshari AlazmiComputational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
Rayan NaserComputational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Franceline HuserComputational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Afaque A MominComputational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Veronica AstroDivision of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
SeungBeom HongComputational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Katarzyna W WalkiewiczComputational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Christian G CanlasCore Labs, Thuwal, Saudi Arabia.
Raphaël HuserDivision of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Amal J AliDivision of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Jasmeen MerzabanDivision of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Antonio AdamoDivision of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Mariusz JaremkoDivision of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Łukasz JaremkoDivision of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Vladimir B BajicComputational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
Xin GaoComputational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
Stefan T AroldComputational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Bioscience Research · USKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationLeucine-aspartic acid (LD) motifs are short linear interaction motifs (SLiMs) that link paxillin family proteins to factors controlling cell adhesion, motility and survival. The existence and importance of LD motifs beyond the paxillin family is poorly understood.

resultsTo enable a proteome-wide assessment of LD motifs, we developed an active learning based framework (LD motif finder; LDMF) that iteratively integrates computational predictions with experimental validation. Our analysis of the human proteome revealed a dozen new proteins containing LD motifs. We found that LD motif signalling evolved in unicellular eukaryotes more than 800 Myr ago, with paxillin and vinculin as core constituents, and nuclear export signal as a likely source of de novo LD motifs. We show that LD motif proteins form a functionally homogenous group, all being involved in cell morphogenesis and adhesion. This functional focus is recapitulated in cells by GFP-fused LD motifs, suggesting that it is intrinsic to the LD motif sequence, possibly through their effect on binding partners. Our approach elucidated the origin and dynamic adaptations of an ancestral SLiM, and can serve as a guide for the identification of other SLiMs for which only few representatives are known. AVAILABILITY AND IMPLEMENTATION: LDMF is freely available online at www.cbrc.kaust.edu.sa/ldmf; Source code is available at https://github.com/tanviralambd/LD/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ProteomeAmino Acid MotifsAspartic AcidHumansLeucinePrevalenceAspartic AcidLeucineProteome

Identifiers

PMID31584626
PMCPMC7703752
OpenAlexW3008175582

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.