ArticleResearch in pharmaceutical sciences2021
Quinazoline analogues as cytotoxic agents; QSAR, docking, and
Article in Research in pharmaceutical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Molecular docking, synthesis, and cytotoxic evaluation of novel quinazoline-quinazolinone hybrid compounds.Research in pharmaceutical sciences · 2026Article
- Article
- Design, synthesis, computational study and cytotoxic evaluation of some new quinazoline derivatives containing pyrimidine moiety.Scientific reports · 2023Article
- Identification of new small molecules as dual FoxM1 and Hsp70 inhibitors using computational methods.Research in pharmaceutical sciences · 2022Article
- Efficient synthesis of 1,3-naphtoxazine derivatives using reusable magnetic catalyst (GO-FeBMC chemistry · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeSynthesis and investigation of pharmacological activity of novel compounds are time and money-consuming. However, computational techniques, docking, and EXPERIMENTAL APPROACH: In this study, a series of quinazoline derivatives were applied to quantitative structure-activity relationship (QSAR) analysis. A collection of chemometric methods were conducted to provide relations between structural features and cytotoxic activity of a variety of quinazoline derivatives against breast cancer cell line. An FINDINGS/
resultsA comparison between different methods significantly indicated that genetic algorithm-partial least-squares were selected as the best model for quinazoline derivatives. In the current study, constitutional, functional, chemical, resource description framework, 2D autocorrelation, and charge descriptors were considered as significant parameters for the prediction of anticancer activity of quinazoline derivatives. CONCLUSION AND IMPLICATIONS: The results showed good accordance between binding energy and QSAR results. Compounds Q
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