Evidence map›Paper›PMID 34506711›Full record

ArticleACS synthetic biology2021

A Platform for Deep Sequence-Activity Mapping and Engineering Antimicrobial Peptides.

Matthew P DeJong, Seth C Ritter, Katharina A Fransen, Daniel T Tresnak, Alexander W Golinski, Benjamin J Hackel

Open access · greenAbstract read
In one paragraph

Article in ACS synthetic biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Proline-Rich Antimicrobial Peptides from Invertebrates.Molecules (Basel, Switzerland) · 2024
    Review
  2. Sequence-function mapping of proline-rich antimicrobial peptides.bioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

6 authors at 1 institution in 1 country.

Matthew P DeJongDepartment of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, Minneapolis, Minnesota 55455, United States.ORCID 0000-0002-0589-124X
Seth C RitterDepartment of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, Minneapolis, Minnesota 55455, United States.
Katharina A FransenDepartment of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, Minneapolis, Minnesota 55455, United States.
Daniel T TresnakDepartment of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, Minneapolis, Minnesota 55455, United States.
Alexander W GolinskiDepartment of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, Minneapolis, Minnesota 55455, United States.
Benjamin J HackelDepartment of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, Minneapolis, Minnesota 55455, United States.ORCID 0000-0003-3561-9463
University of Minnesota · US

Funding

Engineering Antimicrobial Polypeptides against Pathogenic BacteriaR01GM121777 · NIGMS · UNIVERSITY OF MINNESOTA · PI HACKEL, BENJAMIN · 2017 to 2020
$1.1M
NIGMS NIH HHS R01 GM121777
6 · The paper itself

Abstract

Developing potent antimicrobials, and platforms for their study and engineering, is critical as antibiotic resistance grows. A high-throughput method to quantify antimicrobial peptide and protein (AMP) activity across a broad continuum would be powerful to elucidate sequence-activity landscapes and identify potent mutants. Yet the complexity of antimicrobial activity has largely constrained the scope and mechanistic bandwidth of AMP variant analysis. We developed a platform to efficiently perform sequence-activity mapping of AMPs

Indexed as

Protein EngineeringAnti-Bacterial AgentsEscherichia coliHigh-Throughput Nucleotide SequencingMicrobial Sensitivity TestsAnti-Bacterial Agentsantimicrobial peptidedeep mutational scanningoncocinprotein engineeringribosome

Identifiers

PMID34506711
PMCPMC9009525
OpenAlexW3197880532

What OpenQuestion holds

Textmetadata
LicenceTDM
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.