Evidence map›Paper›PMID 34206969›Full record

ArticleViruses2021

PhaLP: A Database for the Study of Phage Lytic Proteins and Their Evolution.

Bjorn Criel, Steff Taelman, Wim Van Criekinge, Michiel Stock, Yves Briers

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Bjorn CrielLaboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, 9000 Gent, Belgium.ORCID 0000-0002-6856-5863
Steff TaelmanBIOBIX, Department of Data Analysis and Mathematical Modelling, Ghent University, 9000 Gent, Belgium.ORCID 0000-0002-2685-4130
Wim Van CriekingeBIOBIX, Department of Data Analysis and Mathematical Modelling, Ghent University, 9000 Gent, Belgium.
Michiel StockBIOBIX, Department of Data Analysis and Mathematical Modelling, Ghent University, 9000 Gent, Belgium.ORCID 0000-0003-0903-6061
Yves BriersLaboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, 9000 Gent, Belgium.ORCID 0000-0001-7723-1040
Ghent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phage lytic proteins are a clinically advanced class of novel enzyme-based antibiotics, so-called enzybiotics. A growing community of researchers develops phage lytic proteins with the perspective of their use as enzybiotics. A successful translation of enzybiotics to the market requires well-considered selections of phage lytic proteins in early research stages. Here, we introduce PhaLP, a database of phage lytic proteins, which serves as an open portal to facilitate the development of phage lytic proteins. PhaLP is a comprehensive, easily accessible and automatically updated database (currently 16,095 entries). Capitalizing on the rich content of PhaLP, we have mapped the high diversity of natural phage lytic proteins and conducted analyses at three levels to gain insight in their host-specific evolution. First, we provide an overview of the modular diversity. Secondly, datamining and interpretable machine learning approaches were adopted to reveal host-specific design rules for domain architectures in endolysins. Lastly, the evolution of phage lytic proteins on the protein sequence level was explored, revealing host-specific clusters. In sum, PhaLP can act as a starting point for the broad community of enzybiotic researchers, while the steadily improving evolutionary insights will serve as a natural inspiration for protein engineers.

Indexed as

Databases, ProteinAmino Acid SequenceBacteriophagesEndopeptidasesHost SpecificityMachine LearningPhylogenyViral ProteinsendolysinEndopeptidasesViral Proteinsbiological databaseconserved protein domainsendolysinsmachine learningphage lytic proteinsprotein architectures

Identifiers

PMID34206969
PMCPMC8310338
OpenAlexW3174759005

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.