Evidence map›Paper›PMID 33744824›Full record

ReviewCurrent opinion in biotechnology2021

Reprogramming bacteriophage host range: design principles and strategies for engineering receptor binding proteins.

Matthew Dunne, Nikolai S Prokhorov, Martin J Loessner, Petr G Leiman

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

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  14. A fully synthetic Golden Gate assembly system for engineering aProceedings of the National Academy of Sciences of the United States of America · 2026
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23 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

4 authors.

Matthew DunneInstitute of Food, Nutrition and Health, ETH Zurich, Schmelzbergstrasse 7, 8092, Zurich, Switzerland. Electronic address: matthew.dunne@hest.ethz.ch.
Nikolai S ProkhorovDepartment of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX, USA.
Martin J LoessnerInstitute of Food, Nutrition and Health, ETH Zurich, Schmelzbergstrasse 7, 8092, Zurich, Switzerland.
Petr G LeimanDepartment of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX, USA.

Funding

Structural and functional determinants of decision-making in bacteriophage host recognitionR01GM139034 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI LEIMAN, PETR G · 2020 to 2023
$1.7M
NIGMS NIH HHS R01 GM139034
6 · The paper itself

Abstract

Bacteriophages (phages) use specialized tail machinery to deliver proteins and genetic material into a bacterial cell during infection. Attached at the distal ends of their tails are receptor binding proteins (RBPs) that recognize specific molecules exposed on host bacteria surfaces. Since the therapeutic capacity of naturally occurring phages is often limited by narrow host ranges, there is significant interest in expanding their host range via directed evolution or structure-guided engineering of their RBPs. Here, we describe the design principles of different RBP engineering platforms and draw attention to the mechanisms linking RBP binding and the correct spatial and temporal attachment of the phage to the bacterial surface. A deeper understanding of these mechanisms will directly benefit future engineering of more effective phage-based therapeutics.

Indexed as

BacteriophagesCarrier ProteinsHost SpecificityProtein BindingProtein EngineeringCarrier Proteins

Identifiers

PMID33744824
PMCPMC10163921

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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.