Tier 4 — mechanistic

An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients

Md Arju Hossain, Md Habibur Rahman, Habiba Sultana, Asif Ahsan, Saiful Islam Rayhan, Md Imran Hasan, Md Sohel, Pratul Dipta Somadder, Mohammad Ali Moni
Computers in Biology and Medicine 2023 155:106656

Bibliography

PubMed
PMID 36805222
PubMed Central
PMC9911982
DOI
10.1016/j.compbiomed.2023.106656

Study snapshot

DesignIn silico network pharmacology and molecular docking
ModelComputational targets related to apigenin, COVID-19 and HIV
Sample
Intervention
Duration
Endpoints

What the study showed, in plain terms

This computational study explored whether apigenin might interact with molecular targets shared by COVID-19 and HIV-related biology.

Key findings

Network analysis highlighted inflammatory and apoptosis pathways and predicted interactions with proteins including MAPK3, RELA, MAPK1, EP300 and AKT1.

What this study can and cannot tell us

The findings are computational predictions. The authors state that the results still require in vitro, in vivo and patient confirmation.

Editorial review

Reviewed by the Biohack Blueprint research team

Last verified

Dr. Khaled Mahmoud, MBBChCritical Care Medicine, Longevity Science & Editorial Direction Dr. Amr Yasser, PhDCardiometabolic, Musculoskeletal, Gut & Bioavailability Dr. Abdulla Mostafa, PhDCellular Senescence, Neurological, Mitochondrial & Brain-Ageing Biology