Evidence map›Paper›PMID 39201795›Full record

ReviewInternational journal of molecular sciences2024

Cell-Free Systems: Ideal Platforms for Accelerating the Discovery and Production of Peptide-Based Antibiotics.

Hyeongwoo Park, Haneul Jin, Dayeong Kim, Joongoo Lee

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Cell-free protein synthesis platforms for accelerating drug discovery.Biotechnology notes (Amsterdam, Netherlands) · 2025
    Review
  3. 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

4 authors.

Hyeongwoo ParkSchool of Interdisciplinary Bioscience and Bioengineering (I-Bio), Pohang University of Science and Technology, Pohang 37673, Republic of Korea.
Haneul JinDepartment of Chemical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.
Dayeong KimDepartment of Chemical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.
Joongoo LeeSchool of Interdisciplinary Bioscience and Bioengineering (I-Bio), Pohang University of Science and Technology, Pohang 37673, Republic of Korea.ORCID 0000-0001-8746-4032

Funding

Ministry of Trade, Industry & Energy (MOTIE) 20020231
6 · The paper itself

Abstract

Peptide-based antibiotics (PBAs), including antimicrobial peptides (AMPs) and their synthetic mimics, have received significant interest due to their diverse and unique bioactivities. The integration of high-throughput sequencing and bioinformatics tools has dramatically enhanced the discovery of enzymes, allowing researchers to identify specific genes and metabolic pathways responsible for producing novel PBAs more precisely. Cell-free systems (CFSs) that allow precise control over transcription and translation in vitro are being adapted, which accelerate the identification, characterization, selection, and production of novel PBAs. Furthermore, these platforms offer an ideal solution for overcoming the limitations of small-molecule antibiotics, which often lack efficacy against a broad spectrum of pathogens and contribute to the development of antibiotic resistance. In this review, we highlight recent examples of how CFSs streamline these processes while expanding our ability to access new antimicrobial agents that are effective against antibiotic-resistant infections.

Indexed as

Anti-Bacterial AgentsAntimicrobial PeptidesCell-Free SystemDrug DiscoveryAnimalsHumansAnti-Bacterial AgentsAntimicrobial Peptidesantimicrobial peptidescell-free systemsnon-canonical amino acidsnon-ribosomal peptidespeptide-based antibioticsribosomally produced and post-translationally modified peptides

Identifiers

PMID39201795
PMCPMC11354240

What Socratic 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 Socratic graph.