ArticleInternational journal of molecular sciences2022
Hierarchical Clustering and Target-Independent QSAR for Antileishmanial Oxazole and Oxadiazole Derivatives.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Identification of potential natural BCL-2 inhibitors for leukemia through an integrated virtual screening approach.BMC pharmacology & toxicology · 2025Article
- Identification of Orthosteric GABAACS omega · 2025Article
- Deconvoluting low yield from weak potency in direct-to-biology workflows with machine learning.RSC medicinal chemistry · 2024Article
- The Experimentalist's Guide to Machine Learning for Small Molecule Design.ACS applied bio materials · 2024Review
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Authors and funding
5 authors.
Funding
Abstract
Leishmaniasis is a neglected tropical disease that kills more than 20,000 people each year. The chemotherapy available for the treatment of the disease is limited, and novel approaches to discover novel drugs are urgently needed. Herein, 2D- and 4D-quantitative structure-activity relationship (QSAR) models were developed for a series of oxazole and oxadiazole derivatives that are active against
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Registered trials
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