ArticleACS infectious diseases2022
Random Forest Model Predictions Afford Dual-Stage Antimalarial Agents.
Article in ACS infectious diseases, 2022. 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, 18 citations in OpenAlex.
- Digital Alchemy: The Rise of Machine and Deep Learning in Small-Molecule Drug Discovery.International journal of molecular sciences · 2025Review
- Advances and challenges in drug design against dental caries: Application ofJournal of pharmaceutical analysis · 2025Review
- Development and experimental validation of a machine learning model for the prediction of new antimalarials.BMC chemistry · 2025Article
- Innovative Multistage ML-QSAR Models for Malaria: From Data to Discovery.ACS medicinal chemistry letters · 2024Article
- Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis.iScience · 2024Article
- Construction and validation of a clinical prediction model for deep vein thrombosis in patients with digestive system tumors based on a machine learning.American journal of cancer research · 2024Article
- Machine Learning Approaches Identify Chemical Features for Stage-Specific Antimalarial Compounds.ACS omega · 2023Article
- Development and validation of a machine learning algorithm prediction for dense granule proteins in Apicomplexa.Parasites & vectors · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
The need for novel antimalarials is apparent given the continuing disease burden worldwide, despite significant drug discovery advances from the bench to the bedside. In particular, small-molecule agents with potent efficacy against both the liver and blood stages 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.