Identification of potential drug targets for COVID 19 patients with cytokine storm

BC Buana - 2022 - digital.car.chula.ac.th
The outcome of SARS-CoV-2 infection may vary depending on gender, lifestyle, and age.
The elderly is more likely to have the severe condition than the younger population …

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 …

An In-Silico Analysis of Drugs Potentially Modulating the Cytokine Storm Triggered by SARS-CoV-2 Infection

L Sanchez-Burgos, G Gómez-López, F Al-Shahrour… - 2020 - preprints.org
The ongoing COVID-19 pandemic is one of the biggest health and societal challenges of the
recent decades. Among the causes of mortality triggered by SARS-CoV-2 infection, the …

[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 …

COVID-19: disease pathways and gene expression changes predict methylprednisolone can improve outcome in severe cases

S Draghici, TM Nguyen, LA Sonna, C Ziraldo… - …, 2021 - academic.oup.com
Motivation COVID-19 has several distinct clinical phases: a viral replication phase, an
inflammatory phase and in some patients, a hyper-inflammatory phase. High mortality is …

Gene expression profiling of corona virus microarray datasets to identify crucial targets in COVID-19 patients

P Ramesh, S Veerappapillai, R Karuppasamy - Gene reports, 2021 - Elsevier
The current outbreak of coronavirus disease (COVID-19) has been affecting millions of
people and has caused devastating mortality worldwide. Moreover, it is to be noted that …

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 …

SARS-CoV-2 potential drugs, drug targets, and biomarkers: a viral-host interaction network-based analysis

A Samy, MA Maher, NA Abdelsalam, E Badr - Scientific Reports, 2022 - nature.com
COVID-19 is a global pandemic impacting the daily living of millions. As variants of the virus
evolve, a complete comprehension of the disease and drug targets becomes a decisive …

[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 …

Targeting cytokine storm as the potential anti-viral therapy: Implications in regulating SARS-CoV-2 pathogenicity

S Maity, A Santra, AV Hebbani, S Pulakuntla… - Gene, 2023 - Elsevier
The latest global pandemic corona virus disease-2019 (COVID-19) caused by the virus
SARS-CoV-2 is still a matter of worrying concern both for the scientific communities and …