ArticleTropical medicine and infectious disease2020
Phenotypic Drug Discovery for Human African Trypanosomiasis: A Powerful Approach.
Article in Tropical medicine and infectious disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Prioritization of chemical scaffolds using the TDR Targets database: An integrative workflow for Trypanosoma cruzi drug discovery.PLoS neglected tropical diseases · 2026Article
- New hit compounds againstAntimicrobial agents and chemotherapy · 2026Article
- Advances in Cysteine Protease B Inhibitors for Leishmaniasis Treatment.Current drug targets · 2025Review
- Multiparameter ranking of carbazoles for anti-trypanosome lead discovery.Frontiers in drug discovery · 2024Article
- Hypothesis-generating proteome perturbation to identify NEU-4438 and acoziborole modes of action in the African Trypanosome.iScience · 2022Article
- Development of Novel Isoindolone-Based Compounds against Trypanosoma brucei rhodesiense.ChemistryOpen · 2021Article
- Early Stages of Drug Discovery in an Academic Institution and Involvement of Pharma for Advancing Promising Leads.ACS infectious diseases · 2021Article
- Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells.Frontiers in pharmacology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
The work began with the screening of a library of 700,000 small molecules for inhibitors of
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.