2020
DOI: 10.1016/j.fct.2020.111767
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Comprehensive assessment of side effects in COVID-19 drug pipeline from a network perspective

Abstract: Currently, coronavirus disease 2019 (COVID-19), has posed an imminent threat to global public health. Although some current therapeutic agents have showed potential prevention or treatment, a growing number of associated adverse events have occurred on patients with COVID-19 in the course of medical treatment. Therefore, a comprehensive assessment of the safety profile of therapeutic agents against COVID-19 is urgently needed. In this study, we proposed a network-based framework to identify the potential side … Show more

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Cited by 15 publications
(10 citation statements)
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“…It is widely recognized that drug-likeness evaluation and ADMET screening are the essential steps in the early stage of drug development that help to avoid late-stage failures [ 43 , 44 ]. Thus, before the wet-lab experiments, a comprehensive in silico evaluation was conducted on the 10 predicted antiphotoaging ginsenosides.…”
Section: Resultsmentioning
confidence: 99%
“…It is widely recognized that drug-likeness evaluation and ADMET screening are the essential steps in the early stage of drug development that help to avoid late-stage failures [ 43 , 44 ]. Thus, before the wet-lab experiments, a comprehensive in silico evaluation was conducted on the 10 predicted antiphotoaging ginsenosides.…”
Section: Resultsmentioning
confidence: 99%
“…Drug-induced side effects are also being assessed in the current network-based framework of COVID-19 studies [ 33 ]. Resources for drug side effects such as SIDER, DrugMatrix, DPIS are listed in the OverCOVID web portal.…”
Section: Resultsmentioning
confidence: 99%
“…The mean and standard deviation of the reference distribution were used to calculate a z-score by normalizing the observed (non-Euclidean) distance. More information on the network proximity measure is presented in earlier studies (Fang et al, 2022;Wu et al, 2020).…”
Section: Network Proximity Analysismentioning
confidence: 99%