Evidence map›Paper›PMID 34122810›Full record

ArticleChemical science2020

Antibody-recruiting protein-catalyzed capture agents to combat antibiotic-resistant bacteria.

Matthew N Idso, Ajay Suresh Akhade, Mario L Arrieta-Ortiz, Bert T Lai, Vivek Srinivas, James P Hopkins, Ana Oliveira Gomes, Naeha Subramanian, Nitin Baliga, James R Heath

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2020. 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
2.4field-weighted citation impact, top 12% 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, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Protein Catalyzed Capture (PCC) Agents for Antigen Targeting.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Engineering Selectively Targeting Antimicrobial Peptides.Annual review of biomedical engineering · 2021
    Review
  7. Article
  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

10 authors at 2 institutions in 3 countries.

Matthew N IdsoInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.ORCID https://orcid.org/0000-0001-5685-0870
Ajay Suresh AkhadeInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.
Mario L Arrieta-OrtizInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.
Bert T LaiIndi Molecular, Inc. 6162 Bristol Parkway Culver City CA 90230 USA.
Vivek SrinivasInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.
James P HopkinsInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.
Ana Oliveira GomesInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.
Naeha SubramanianInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.
Nitin BaligaInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.
James R HeathInstitute for Systems Biology 401 Terry Ave North Seattle 98109 USA jim.heath@isbscience.org.ORCID https://orcid.org/0000-0001-5356-4385
North Seattle College · USIndra (Spain) · ES

Funding

A systems analysis of drug tolerance in Mycobacterium tuberculosisR01AI128215 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI Nitin S Baliga · 2017 to 2026
$8.8M
Site Specific Immunophenotyping Assays of COVID19 Patients to Align with NIAID National StudyR01AI141953 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2019 to 2023
$5.7M
Can a modest change in regulation of NOD1 expression have a major impact on inflammation and gastric cancer?R21AI138258 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI SUBRAMANIAN, NAEHA · 2018 to 2019
$523k
NIAID NIH HHS R01 AI128215NIAID NIH HHS R01 AI141953NIAID NIH HHS R21 AI138258
6 · The paper itself

Abstract

Antibiotic resistant infections are projected to cause over 10 million deaths by 2050, yet the development of new antibiotics has slowed. This points to an urgent need for methodologies for the rapid development of antibiotics against emerging drug resistant pathogens. We report on a generalizable combined computational and synthetic approach, called antibody-recruiting protein-catalyzed capture agents (AR-PCCs), to address this challenge. We applied the combinatorial protein catalyzed capture agent (PCC) technology to identify macrocyclic peptide ligands against highly conserved surface protein epitopes of carbapenem-resistant

Identifiers

PMID34122810
PMCPMC8157486
OpenAlexW3006672551

What OpenQuestion holds

Textmetadata
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.