ArticleACS infectious diseases2021
A Machine Learning Strategy for Drug Discovery Identifies Anti-Schistosomal Small Molecules.
Article in ACS infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Explainable Artificial Intelligence (XAI) and Molecular Modeling Techniques to Discover Putative HER2 Inhibitors.International journal of molecular sciences · 2026Article
- Plant-Derived Terpenes as Emerging Therapeutics Against Schistosomiasis.International journal of molecular sciences · 2026Review
- Discovery of Small Molecule Inhibitors against Polo-Like Kinase 1 Targeting Breast Cancer.Anti-cancer agents in medicinal chemistry · 2026Article
- Prediction and Prioritisation of Novel Anthelmintic Candidates from Public Databases Using Deep Learning and Available Bioactivity Data Sets.International journal of molecular sciences · 2025Article
- Near-Term Quantum Classification Algorithms Applied to Antimalarial Drug Discovery.Journal of chemical information and modeling · 2024Article
- PDDGCN: A Parasitic Disease-Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network.Interdisciplinary sciences, computational life sciences · 2024Article
- Machine learning and drug discovery for neglected tropical diseases.BMC bioinformatics · 2023Article
- Phenotypic Profiling of Macrocyclic Lactones on ParasiticAntimicrobial agents and chemotherapy · 2023Article
- The Commoditization of AI for Molecule Design.Artificial intelligence in the life sciences · 2022Article
- Prediction of antischistosomal small molecules using machine learning in the era of big data.Molecular diversity · 2022Review
- Small molecule targeting amyloid fibrils inhibits Streptococcus mutans biofilm formation.AMB Express · 2021Article
- Anti-schistosomal activities of quinoxaline-containing compounds: From hit identification to lead optimisation.European journal of medicinal chemistry · 2021Article
- Artificial Intelligence in Functional Food Ingredient Discovery and Characterisation: A Focus on Bioactive Plant and Food Peptides.Frontiers in genetics · 2021Review
- Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Schistosomiasis is a chronic and painful disease of poverty caused by the flatworm parasite
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.