A Novel Computational Approach for the Discovery of Drug Delivery System Candidates for COVID-19

A Novel Computational Approach for the Discovery of Drug Delivery System Candidates for COVID-19

In order to treat Coronavirus Disease 2019 (COVID-19), we predicted and implemented a drug delivery system (DDS) that can provide stable drug delivery through a computational approach including a clustering algorithm and the Schrödinger software. Six carrier candidates were derived by the proposed m...

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Bibliographic Details
Main Authors:	Taeheum Cho, Hyo-Sang Han, Junhyuk Jeong, Eun-Mi Park, Kyu-Sik Shim
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	International Journal of Molecular Sciences
Subjects:	COVID-19 in silico machine learning clustering unsupervised learning drug delivery system
Online Access:	https://www.mdpi.com/1422-0067/22/6/2815

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