Evidence map›Paper›PMID 31297843›Full record

ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2019

Protein Topology Prediction Algorithms Systematically Investigated in the Yeast Saccharomyces cerevisiae.

Uri Weill, Nir Cohen, Amir Fadel, Shifra Ben-Dor, Maya Schuldiner

Open access · hybridAbstract read
In one paragraph

Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 31 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

5 authors at 1 institution in 1 country.

Uri WeillDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Nir CohenDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Amir FadelDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Shifra Ben-DorDepartment of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Maya SchuldinerDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, 7610001, Israel.ORCID 0000-0001-9947-115X
Weizmann Institute of Science · IL

Funding

European Research Council 646604
6 · The paper itself

Abstract

Membrane proteins perform a variety of functions, all crucially dependent on their orientation in the membrane. However, neither the exact number of transmembrane domains (TMDs) nor the topology of most proteins have been experimentally determined. Due to this, most scientists rely primarily on prediction algorithms to determine topology and TMD assignments. Since these can give contradictory results, single-algorithm-based predictions are unreliable. To map the extent of potential misanalysis, the predictions of nine algorithms on the yeast proteome are compared and it is found that they have little agreement when predicting TMD number and termini orientation. To view all predictions in parallel, a webpage called TopologYeast: http://www.weizmann.ac.il/molgen/TopologYeast was created. Each algorithm is compared with experimental data and a poor agreement is found. The analysis suggests that more systematic data on protein topology are required to increase the training sets for prediction algorithms and to have accurate knowledge of membrane protein topology.

Indexed as

AlgorithmsProteomeComputational BiologyMembrane ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsMembrane ProteinsProteomeSaccharomyces cerevisiae Proteinsmembrane proteinsprediction algorithmstermini orientationtransmembrane domainsyeast

Identifiers

PMID31297843
PMCPMC7611422
OpenAlexW2956676186

What OpenQuestion holds

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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.