Evidence map›Paper›PMID 27274091›Full record

ReviewProtein engineering, design & selection : PEDS2016

Consensus protein design.

Benjamin T Porebski, Ashley M Buckle

Abstract readReview
In one paragraph

Review in Protein engineering, design & selection : PEDS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

  1. Review
  2. Article
  3. Accelerated protein digestion by numbering-up nanochannels, followed by LC-MS analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  4. Article
  5. Article
  6. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  7. Exploring the Blueprint of Life: The Innovation in Antibody and Protein Design.Combinatorial chemistry & high throughput screening · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Advances in the Directed Evolution of Computer-aided Enzymes.Current topics in medicinal chemistry · 2025
    Review
  16. Review
  17. Article
  18. Enhancement of the Thermostability ofMolecules (Basel, Switzerland) · 2024
    Article
  19. Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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

2 authors.

Benjamin T PorebskiBiomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Clayton, Victoria 3800, Australia Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
Ashley M BuckleBiomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Clayton, Victoria 3800, Australia ashley.buckle@monash.edu.

Funding

Medical Research Council
6 · The paper itself

Abstract

A popular and successful strategy in semi-rational design of protein stability is the use of evolutionary information encapsulated in homologous protein sequences. Consensus design is based on the hypothesis that at a given position, the respective consensus amino acid contributes more than average to the stability of the protein than non-conserved amino acids. Here, we review the consensus design approach, its theoretical underpinnings, successes, limitations and challenges, as well as providing a detailed guide to its application in protein engineering.

Indexed as

Protein EngineeringAmino Acid SequenceAnimalsHumansInformaticsProteinsProtein StabilitySequence AlignmentTemperatureThermodynamicsProteinsconsensus designmultiple sequence alignmentprotein stabilitysemi-rational designstatistical sequence analysisthermostability

Identifiers

PMID27274091
PMCPMC4917058

What OpenQuestion holds

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LicenceCC BY-NC
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.