Machine learning facilitated structural activity relationship approach for the discovery of novel inhibitors targeting EGFR
R Choudhary, V Walhekar, A Muthal… - Journal of …, 2023 - Taylor & Francis
This research manuscript aims to find the most effective epidermal growth factor receptor
(EGFR) inhibitors from millions of in house compounds through Machine Learning (ML) …
(EGFR) inhibitors from millions of in house compounds through Machine Learning (ML) …
Development of certain benzylidene coumarin derivatives as anti-prostate cancer agents targeting EGFR and PI3Kβ kinases
LMA Abdel Ghany, TS Ibrahim, AS Alharbi… - Journal of Enzyme …, 2024 - Taylor & Francis
Novel coumarin derivatives were synthesised and tested for their cytotoxicity against human
cancer cells (PC-3 and MDA-MB-231). Compounds 5, 4b, and 4a possessed potent …
cancer cells (PC-3 and MDA-MB-231). Compounds 5, 4b, and 4a possessed potent …
Quinazolin-4(3H)-one based potential multiple tyrosine kinase inhibitors with excellent cytotoxicity
Abstract A series of quinazolin-4 (3 H)-one derivatives were synthesised and evaluated for
their cytotoxicity against human Caucasian breast adenocarcinoma (MCF-7) and human …
their cytotoxicity against human Caucasian breast adenocarcinoma (MCF-7) and human …
Molecular Docking Analysis of Hydroxy Chalcones and Flavones from Anisaldehyde and Veratraldehyde as EGFR Inhibitors: Predicting Anticancer Potential
This study aimed to investigate the potential of hydroxy chalcone and flavone derivatives as
inhibitors of the epidermal growth factor receptor (EGFR) with anticancer properties …
inhibitors of the epidermal growth factor receptor (EGFR) with anticancer properties …