Evidence map›Paper›PMID 40610818›Full record

ArticleWorld journal of microbiology & biotechnology2025

High-throughput screening identifies novel chemical scaffolds targeting Leishmania donovani parasites.

Diksha Kumari, Vishwani Jamwal, Tashi Palmo, Anuj Kumar, Kuljit Singh

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Diksha KumariInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India.
Vishwani JamwalInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India.
Tashi PalmoInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India.
Anuj KumarInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India.
Kuljit SinghInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India. singhkuljit.iiim@csir.res.in.

Funding

DST-SERB SRG/2021/000293
6 · The paper itself

Abstract

High-throughput screening (HTS) is one of the critical strategies that can accelerate the process of drug discovery by exploring small drug-like molecule libraries. HTS noticeably contributes to the identification of potential hits using various automation tools and biological assays. Leishmaniasis, a neglected tropical disease, is one of the most deadly protozoan parasitic infections causing significant global burden in certain poverty-stricken countries. Given the paucity of effective chemotherapeutic agents available for the treatment of this life-threatening infection, the discovery of novel leishmanicidal scaffolds through innovative strategies is pivotal to combating this parasitic disease. In the present study, we have employed the HTS strategy to scrutinize 10,000 drug-like molecules from the in-house ChemDiv library to identify potent hits against Leishmania donovani. Noticeably, 99 molecules showed > 80% inhibitory effect against the L. donovani parasites at 50 µM concentration, and among them, four molecules displayed a 50% inhibitory concentration (IC

Indexed as

Antiprotozoal AgentsHigh-Throughput Screening AssaysLeishmania donovaniAnimalsDrug DiscoveryHumansInhibitory Concentration 50Leishmaniasis, VisceralParasitic Sensitivity TestsSmall Molecule LibrariesAntiprotozoal AgentsSmall Molecule LibrariesCell viabilityDrug discoveryHigh-throughput screeningLeishmania donovaniMicroscopyPharmacokinetics

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.