Evidence map›Paper›PMID 28545124›Full record

ArticlePloS one2017

CorNet: Assigning function to networks of co-evolving residues by automated literature mining.

Tom van den Bergh, Giorgio Tamo, Alberto Nobili, Yifeng Tao, Tianwei Tan, Uwe T Bornscheuer, Remko K P Kuipers, Bas Vroling, René M de Jong, Kalyanasundaram Subramanian and 5 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

15 authors.

Tom van den BerghBio-Prodict, Nijmegen, The Netherlands.
Giorgio TamoBio-Prodict, Nijmegen, The Netherlands.
Alberto NobiliInstitute of Biochemistry, Department of Biotechnology & Enzyme Catalysis, Greifswald University, Greifswald, Germany.
Yifeng TaoInstitute of Biochemistry, Department of Biotechnology & Enzyme Catalysis, Greifswald University, Greifswald, Germany.
Tianwei TanBeijing Key Lab of Bioprocess, Beijing University of Chemical Technology, Chaoyang, Beijing, China.
Uwe T BornscheuerInstitute of Biochemistry, Department of Biotechnology & Enzyme Catalysis, Greifswald University, Greifswald, Germany.
Remko K P KuipersBio-Prodict, Nijmegen, The Netherlands.
Bas VrolingBio-Prodict, Nijmegen, The Netherlands.
René M de JongDSM Biotechnology Center, Delft, The Netherlands.
Kalyanasundaram SubramanianLaboratory of Systems and Synthetic Biology, Wageningen University, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-6110-1046
Peter J SchaapLaboratory of Systems and Synthetic Biology, Wageningen University, Wageningen, The Netherlands.
Tom DesmetCentre for Industrial Biotechnology and Biocatalysis, Ghent University, Ghent, Belgium.
Bernd NidetzkyInstitute of Biotechnology and Biochemical Engineering, Graz University of Technology, Graz, Austria.
Gert VriendCMBI, Radboudumc, Nijmegen, The Netherlands.
Henk-Jan JoostenBio-Prodict, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CorNet is a web-based tool for the analysis of co-evolving residue positions in protein super-family sequence alignments. CorNet projects external information such as mutation data extracted from literature on interactively displayed groups of co-evolving residue positions to shed light on the functions associated with these groups and the residues in them. We used CorNet to analyse six enzyme super-families and found that groups of strongly co-evolving residues tend to consist of residues involved in a same function such as activity, specificity, co-factor binding, or enantioselectivity. This finding allows to assign a function to residues for which no data is available yet in the literature. A mutant library was designed to mutate residues observed in a group of co-evolving residues predicted to be involved in enantioselectivity, but for which no literature data is available yet. The resulting set of mutations indeed showed many instances of increased enantioselectivity.

Indexed as

Data MiningEvolution, MolecularInternetAutomationComputational BiologyModels, MolecularMutationProtein ConformationProteinsSequence AlignmentProteins

Identifiers

PMID28545124
PMCPMC5436653

What OpenQuestion holds

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LicenceCC BY
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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.