Evidence map›Paper›PMID 38632393›Full record

ArticleThe Journal of antibiotics2024

Crowdsourcing for mining new fungal sources for addressing the need for novel antibiotics against multidrug resistant pathogens.

T S Suryanarayanan

Abstract readEditorial
PubMed Publisher
In one paragraph

Article in The Journal of antibiotics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

T S SuryanarayananVivekananda Institute of Tropical Mycology, Ramakrishna Mission Vidyapith, Chennai, India. t_sury2002@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are a limited number of new antibiotics to manage the health crisis caused by the evolution and spread of antimicrobial resistant (AMR) bacteria including multidrug resistant (MDR), extensively drug-resistant (XDR) and pan-drug-resistant (PDR) ones. Bioprospecting fungi of less studied and extreme environments using new and less used older approaches could reveal novel antibiotics to manage MDR pathogens. Furthermore, I posit a crowdsourcing model which could substantially increase the chances of discovering novel antibiotics as well as new chemotypes for other therapeutic areas and considerably reduce the cost and time of this exercise.

Indexed as

Anti-Bacterial AgentsCrowdsourcingDrug DiscoveryDrug Resistance, Multiple, BacterialFungiAnti-Bacterial Agents

Identifiers

What OpenQuestion holds

Textmetadata
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.