A review on computer‐aided chemogenomics and drug repositioning for rational COVID‐19 drug discovery

S Maghsoudi, B Taghavi Shahraki… - Chemical Biology & …, 2022 - Wiley Online Library
Application of materials capable of energy harvesting to increase the efficiency and
environmental adaptability is sometimes reflected in the ability of discovery of some traces in …

Cognitive dysfunction associated with COVID-19: Prognostic role of circulating biomarkers and microRNAs

M Alvarez, E Trent, BDS Goncalves… - Frontiers in aging …, 2022 - frontiersin.org
COVID-19 is renowned as a multi-organ disease having subacute and long-term effects with
a broad spectrum of clinical manifestations. The evolving scientific and clinical evidence …

Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary …

SMH Mahmud, M Al-Mustanjid, F Akter… - Briefings in …, 2021 - academic.oup.com
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), better known as
COVID-19, has become a current threat to humanity. The second wave of the SARS-CoV-2 …

Quercetin as a potential treatment for COVID-19-induced acute kidney injury: Based on network pharmacology and molecular docking study

YY Gu, M Zhang, H Cen, YF Wu, Z Lu, F Lu, XS Liu… - PloS one, 2021 - journals.plos.org
Kidneys are one of the targets for SARS-CoV-2, it is reported that up to 36% of patients with
SARS-CoV-2 infection would develop into acute kidney injury (AKI). AKI is associated with …

Differential co-expression network analysis reveals key hub-high traffic genes as potential therapeutic targets for COVID-19 pandemic

A Hasankhani, A Bahrami, N Sheybani, B Aria… - Frontiers in …, 2021 - frontiersin.org
Background The recent emergence of COVID-19, rapid worldwide spread, and incomplete
knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited …

[HTML][HTML] Machine learning approach to predicting COVID-19 disease severity based on clinical blood test data: statistical analysis and model development

S Aktar, MM Ahamad… - JMIR medical …, 2021 - medinform.jmir.org
Background: Accurate prediction of the disease severity of patients with COVID-19 would
greatly improve care delivery and resource allocation and thereby reduce mortality risks …

[HTML][HTML] Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic

A Haleem, M Javaid, RP Singh, R Suman - Sustainable Operations and …, 2021 - Elsevier
Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases

MH Rahman, HK Rana, S Peng, MG Kibria… - Computers in biology …, 2021 - Elsevier
Abstract The Coronavirus Disease 2019 (COVID-19) still tends to propagate and increase
the occurrence of COVID-19 across the globe. The clinical and epidemiological analyses …

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities

A Nashiry, S Sarmin Sumi, S Islam… - Briefings in …, 2021 - academic.oup.com
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected individuals that
have hypertension or cardiovascular comorbidities have an elevated risk of serious …

Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases

MS Satu, MI Khan, MR Rahman… - Briefings in …, 2021 - academic.oup.com
With the increasing number of immunoinflammatory complexities, cancer patients have a
higher risk of serious disease outcomes and mortality with SARS-CoV-2 infection which is …