Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An in Silico Study with Experimental Validation
Journal
Oxidative Medicine and Cellular Longevity
Journal Volume
2022
Date Issued
2022
Author(s)
Abstract
BACKGROUND: Vascular calcification (VC) constitutes subclinical vascular burden and increases cardiovascular mortality. Effective therapeutics for VC remains to be procured. We aimed to use a deep learning-based strategy to screen and uncover plant compounds that potentially can be repurposed for managing VC. METHODS: VC model for validity based on the probability scores. RESULTS: . CONCLUSIONS: Our findings exemplify the utility of deep learning in identifying promising VC-treating plant compounds. Our model can be a quick and comprehensive computational screening tool to assist in the early drug discovery process.
SDGs
Publisher
Hindawi Limited
Type
journal article