Synergistic Inhibition Guided Fragment-Linking Strategy and Quantitative Structure-Property Relationship Modeling To Design Inhalable Therapeutics for Asthma Targeting CSF1R

0Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The colony-stimulating factor-1 receptor (CSF1R) is a tyrosine-protein kinase that is a potential target for asthma therapeutics. We have applied a fragment-lead combination approach to identify small fragments that act synergistically with GW2580, a known inhibitor of CSF1R. Two fragment libraries were screened in combination with GW2580 by surface plasmon resonance (SPR). Binding affinity measurements confirmed that thirteen fragments bind specifically to the CSF1R, and a kinase activity assay further validated the inhibitory effect of these fragments. Several fragment compounds enhanced the inhibitory activity of the lead inhibitor. Computational solvent mapping, molecular docking, and modeling studies suggest that some of these fragments bind adjacent to the binding site of the lead inhibitor and further stabilize the inhibitor-bound state. Modeling results guided the computational fragment-linking approach to design potential next-generation compounds. The inhalability of these proposed compounds was predicted using quantitative structure-property relationships (QSPR) modeling based on an analysis of 71 drugs currently on the market. This work provides new insights into the development of inhalable small molecule therapeutics for asthma.

Cite

CITATION STYLE

APA

Vaid, T. M., Demissie, R., Kwon, Y., Tran, T., Moon, H. G., Villegas, J. A., … Lee, H. (2023). Synergistic Inhibition Guided Fragment-Linking Strategy and Quantitative Structure-Property Relationship Modeling To Design Inhalable Therapeutics for Asthma Targeting CSF1R. ACS Omega, 8(23), 20505–20512. https://doi.org/10.1021/acsomega.3c00803

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free