Repurposing of drugs for combined treatment of COVID 19 cytokine storm using machine learning

I Tsigelny, M Gantla, V Kouznetsova - 2022 - chemrxiv.org
Context: SARS CoV 2 induced cytokine storm is the major cause of COVID 19 related
deaths. Patients have been treated with drugs that work by inhibiting a specific protein partly …

[HTML][HTML] Repurposing of drugs for combined treatment of COVID-19 cytokine storm using machine learning

MR Gantla, IF Tsigelny, VL Kouznetsova - Medicine in Drug Discovery, 2023 - Elsevier
Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) induced cytokine storm is
the major cause of COVID-19 related deaths. Patients have been treated with drugs that …

Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model

YT Chen, YH Chang, N Pathak, SC Tzou… - Frontiers in …, 2022 - frontiersin.org
Background Drug repurposing is a fast and effective way to develop drugs for an emerging
disease such as COVID-19. The main challenges of effective drug repurposing are the …

Repurposing of some anti‐infective drugs for COVID‐19 treatment: a surveillance study supported by an in silico investigation

AM Sayed, AM Khalaf, MEA Abdelrahim… - … journal of clinical …, 2021 - Wiley Online Library
Objective The repurposing of nitazoxanide, doxycycline and azithromycin may be effective to
improve the symptoms in mild and moderate COVID‐19 subjects. This study aimed to detect …

[PDF][PDF] Calming the Storm: Identifying Multi-Cytokine Inhibiting Drugs with Machine Learning for COVID-19 Induced Cytokine Storms

J Hou, VL Kouznetsova, IF Tsigelny - Microbiol Infect Dis, 2022 - scivisionpub.com
In COVID-19, patients in severe condition often suffer from a major complication that leads to
lung injury, ARDS and possibly death: the cytokine storm. The cytokine storm is composed of …

Bioinformatic approaches for identification of potential repurposable drugs in COVID-19

M Mandal, S Mandal - Journal of Drug Delivery and Therapeutics, 2021 - jddtonline.info
Introduction: Repurposing existing drugs approved for other conditions is crucial to
identifying specific therapeutics against SARS-CoV-2 (severe acute respiratory syndrome …

A Hybrid AI-driven Algorithm to Uncover Potential Therapeutic Targets for COVID-19 Using Network-based Drug Repurposing

C Marchi, DC Martins Jr - 2022 - preprints.org
The COVID-19 was described as a respiratory illness, however further studies recognize it
as a complex heterogeneous multisystemic disorder. Global efforts have been proposed to …

Drug repurposing for SARS-COV-2: A high-throughput molecular docking, molecular dynamics, machine learning, & ab-initio study

J Kashyap, D Datta - arXiv preprint arXiv:2201.00287, 2022 - arxiv.org
A molecule of dimension 125nm has caused around 479 Million human infections (80M for
the USA) & 6.1 Million human deaths (977,000 for the USA) worldwide and slashed the …

Molecular Simulation–Driven Drug Repurposing for the Identification of Inhibitors Against Non-Structural Proteins of SARS-CoV-2

A Pathak, B Singh, DK Chaurasia… - In Silico Modeling of Drugs …, 2021 - Springer
Abstract The SARS-CoV-2 pandemic (COVID-19) created an urgency to find a potential drug
molecule for its cure. Repurposing of FDA-approved drugs facilitated by preliminary …

Machine learning identifies molecular regulators and therapeutics for targeting SARS‐CoV2‐induced cytokine release

M Chan, S Vijay, J McNevin, MJ McElrath… - Molecular systems …, 2021 - embopress.org
Abstract Although 15–20% of COVID‐19 patients experience hyper‐inflammation induced
by massive cytokine production, cellular triggers of this process and strategies to target them …