ArticleACS omega2023
Synthesis, Characterization, Computational Studies, Molecular Docking, and
Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
2-Aminobenzochromenes and dihydropyranochromenes represent a unique class of biologically active compounds. Recent organic syntheses focus on the development of environmentally benign synthetic protocols, and as a part of this concept, we have taken a considerable interest in the synthesis of this class of biologically active compounds using an environment-friendly, reusable heterogeneous Amberlite IRA 400-Cl resin catalyst. This work further aims to highlight the importance and advantages of these compounds and to compare the experimental data obtained with those of the theoretical calculations made using the density functional theory (DFT) method. Molecular docking studies on the selected compounds were also carried out to study the effectiveness of these compounds in liver fibrosis treatment. Furthermore, we have performed molecular docking studies and an
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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.