Evidence map›Paper›PMID 26716404›Full record

ArticleeLife2015

Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis.

Anusmita Sahoo, Shruti Khare, Sivasankar Devanarayanan, Pankaj C Jain, Raghavan Varadarajan

Open access · goldAbstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 43 citations in OpenAlex.

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  7. Structural and functional determinants inferred from deep mutational scans.Protein science : a publication of the Protein Society · 2022
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  15. A facile method of mapping HIV-1 neutralizing epitopes using chemically masked cysteines and deep sequencing.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

5 authors at 1 institution in 1 country.

Anusmita SahooMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Shruti KhareMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Sivasankar DevanarayananMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Pankaj C JainMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Raghavan VaradarajanMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Indian Institute of Science Bangalore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of residue-residue contacts from primary sequence can be used to guide protein structure prediction. Using Escherichia coli CcdB as the test case, we describe an experimental method termed saturation-suppressor mutagenesis to acquire residue contact information. In this methodology, for each of five inactive CcdB mutants, exhaustive screens for suppressors were performed. Proximal suppressors were accurately discriminated from distal suppressors based on their phenotypes when present as single mutants. Experimentally identified putative proximal pairs formed spatial constraints to recover >98% of native-like models of CcdB from a decoy dataset. Suppressor methodology was also applied to the integral membrane protein, diacylglycerol kinase A where the structures determined by X-ray crystallography and NMR were significantly different. Suppressor as well as sequence co-variation data clearly point to the X-ray structure being the functional one adopted in vivo. The methodology is applicable to any macromolecular system for which a convenient phenotypic assay exists.

Indexed as

MutagenesisSuppression, GeneticBacterial ProteinsDiacylglycerol KinaseEscherichia coliModels, MolecularProtein ConformationBacterial ProteinsCcdB protein, Plasmid FDiacylglycerol Kinasebiophysicsmodel discriminationnonePairwise contactsprotein stabilitystructural biologystructure prediction

Identifiers

PMID26716404
PMCPMC4758949
OpenAlexW2196986551

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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.