Journal
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
Volume 109, Issue -, Pages -Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmgm.2021.108020
Keywords
Cyclin dependent Kinase-4; Virtual screening; Molecular docking; QSAR
Ask authors/readers for more resources
A study was conducted to generate and validate various categorical QSAR models for identifying molecules with drug-like properties in human breast cancer cells, ultimately selecting 25 potential lead molecules.
In the family of serine/threonine kinases, Cyclin Dependent Kinase 4 (CDK4), is an important regulator in numerous signal transduction pathways. The cell cycle is dysregulated in human breast adenocarcinoma (MCF7). A set of various categorical QSAR models were generated and validated in the current examination. A recursive partition model, with predictive ability shown by an accuracy of greater than 0.90, was used for virtual screening of 500,000 molecules. Following a consecutive series of molecular docking procedures, followed by pharmacokinetic analysis of 49759 molecules predicted to have pIC50 greater than 7.39, 25 molecules displayed properties that could be described as drug-like. We selected the lead molecules in the MCF-7 cell line based on its ability to promote cell cycle progression.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available