In silico design, modelling and molecular mechanisms of Axl receptor tyrosine kinase inhibitors.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Gatta K R S Naresh, Lalitha Guruprasad
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引用次数: 0

Abstract

A kinase domain from receptor tyrosine kinases (RTKs) regulate intracellular communications to control cellular metabolic activities. Some of the malignant cells have upregulated and overexpressed RTKs which are responsible for angiogenesis in many metastatic cancers. Axl RTK is present in most of the eukaryotic cells and all metastatic cancer cells have overexpressed Axl tyrosine kinase to trigger uncontrolled growth and angiogenesis in the malignant cells. The upregulated kinases can be inhibited in its active and inactive states in the presence of small organic molecule inhibitors. Kinase inhibitors have been discovered to arrest the signal transduction pathways in the malignant cells as a therapy and cure for cancer. In this work, small molecule databases were screened using the pharmacophore features of a macrocyclic inhibitor (7YS) taken as reference from the crystal structure of Axl kinase domain. Pharmacophore based virtual screening of small molecule libraries (CHEMBL32, ChemDiv, Chemspace, Mcule, MolProt, PubChem and Zinc), followed by molecular docking, molecular dynamics simulations, binding energies from MM-PBSA calculations and trajectory analysis as principal component analysis were studied. The molecular basis for the binding of macrocyclic inhibitor, ATP and seven screened hit molecules bound at Axl kinase domain in two different modes at catalytic and regulatory sites was analyzed.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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