Tiotropium is predicted to be a promising drug for COVID-19 through transcriptome-based comprehensive molecular pathway analysis

K Kang, HH Kim, Y Choi - Viruses, 2020 - mdpi.com
The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) affects almost everyone in the world in many ways …

[HTML][HTML] Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model

BR Beck, B Shin, Y Choi, S Park, K Kang - Computational and structural …, 2020 - Elsevier
The infection of a novel coronavirus found in Wuhan of China (SARS-CoV-2) is rapidly
spreading, and the incidence rate is increasing worldwide. Due to the lack of effective …

Target-centered drug repurposing predictions of human angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine subtype 2 (TMPRSS2) …

Y Choi, B Shin, K Kang, S Park, BR Beck - Viruses, 2020 - mdpi.com
Previously, our group predicted commercially available Food and Drug Administration (FDA)
approved drugs that can inhibit each step of the replication of severe acute respiratory …

Multiple-Molecule Drug Repositioning for Disrupting Progression of SARS-CoV-2 Infection by Utilizing the Systems Biology Method through Host-Pathogen-Interactive …

CG Wang, BS Chen - Stresses, 2022 - mdpi.com
The coronavirus disease 2019 (COVID-19) pandemic has claimed many lives since it was
first reported in late December 2019. However, there is still no drug proven to be effective …

Repurposing Multiple-Molecule Drugs for COVID-19-Associated Acute Respiratory Distress Syndrome and Non-Viral Acute Respiratory Distress Syndrome via a …

CT Ting, BS Chen - International Journal of Molecular Sciences, 2022 - mdpi.com
The coronavirus disease 2019 (COVID-19) epidemic is currently raging around the world at
a rapid speed. Among COVID-19 patients, SARS-CoV-2-associated acute respiratory …

DeepH-DTA: deep learning for predicting drug-target interactions: a case study of COVID-19 drug repurposing

M Abdel-Basset, H Hawash, M Elhoseny… - Ieee …, 2020 - ieeexplore.ieee.org
The rapid spread of novel coronavirus pneumonia (COVID-19) has led to a dramatically
increased mortality rate worldwide. Despite many efforts, the rapid development of an …

Computational identification of host genomic biomarkers highlighting their functions, pathways and regulators that influence SARS-CoV-2 infections and drug …

MP Mosharaf, MS Reza, MK Kibria, FF Ahmed… - Scientific reports, 2022 - nature.com
The pandemic threat of COVID-19 has severely destroyed human life as well as the
economy around the world. Although, the vaccination has reduced the outspread, but …

Advanced bioinformatics rapidly identifies existing therapeutics for patients with coronavirus disease-2019 (COVID-19)

J Kim, J Zhang, Y Cha, S Kolitz, J Funt… - Journal of translational …, 2020 - Springer
Background The recent global pandemic has placed a high priority on identifying drugs to
prevent or lessen clinical infection of severe acute respiratory syndrome coronavirus 2 …

Deepdrug: a general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction

Q Yin, R Fan, X Cao, Q Liu, R Jiang… - Quantitative …, 2023 - Wiley Online Library
Computational methods for DDIs and DTIs prediction are essential for accelerating the drug
discovery process. We proposed a novel deep learning method DeepDrug, to tackle these …

DeepCoVDR: deep transfer learning with graph transformer and cross-attention for predicting COVID-19 drug response

Z Huang, P Zhang, L Deng - Bioinformatics, 2023 - academic.oup.com
Motivation The coronavirus disease 2019 (COVID-19) remains a global public health
emergency. Although people, especially those with underlying health conditions, could …