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Drug repurposing for COVID-19: Approaches, challenges and promising candidates
YL Ng, CK Salim, JJH Chu - Pharmacology & therapeutics, 2021 - Elsevier
Traditional drug development and discovery has not kept pace with threats from emerging
and re-emerging diseases such as Ebola virus, MERS-CoV and more recently, SARS-CoV …
and re-emerging diseases such as Ebola virus, MERS-CoV and more recently, SARS-CoV …
[HTML][HTML] An understanding of coronavirus and exploring the molecular dynamics simulations to find promising candidates against the Mpro of nCoV to combat the …
The first infection case of new coronavirus was reported at the end of 2019 and after then,
the cases are reported in all nations across the world in a very short period. Further, the …
the cases are reported in all nations across the world in a very short period. Further, the …
Designing a multi-epitope vaccine candidate to combat MERS-CoV by employing an immunoinformatics approach
Currently, no approved vaccine is available against the Middle East respiratory syndrome
coronavirus (MERS-CoV), which causes severe respiratory disease. The spike glycoprotein …
coronavirus (MERS-CoV), which causes severe respiratory disease. The spike glycoprotein …
In silico protein engineering shows that novel mutations affecting NAD+ binding sites may improve phosphite dehydrogenase stability and activity
Pseudomonas stutzeri phosphite dehydrogenase (PTDH) catalyzes the oxidation of
phosphite to phosphate in the presence of NAD, resulting in the formation of NADH. The …
phosphite to phosphate in the presence of NAD, resulting in the formation of NADH. The …
QSPR Modeling with Topological Indices of Some Potential Drug Candidates against COVID‐19
Ö Çolakoğlu - Journal of Mathematics, 2022 - Wiley Online Library
COVID‐19, which has spread all over the world and was declared as a pandemic, is a new
disease caused by the coronavirus family. There is no medicine yet to prevent or end this …
disease caused by the coronavirus family. There is no medicine yet to prevent or end this …
Insighting the inhibitory potential of novel modafinil drug derivatives against estrogen alpha (ERα) of breast cancer through a triple hybrid computational methodology
Breast cancer (Bc a) is the prominent, most commonly detected, and the leading cause of
mortality among women. Estrogen receptor alpha (ERα) is considered an important receptor …
mortality among women. Estrogen receptor alpha (ERα) is considered an important receptor …
Recognizing novel drugs against Keap1 in Alzheimer's disease using machine learning grounded computational studies
Alzheimer's disease (AD) is the most common neurodegenerative disorder in the world,
affecting an estimated 50 million individuals. The nerve cells become impaired and die due …
affecting an estimated 50 million individuals. The nerve cells become impaired and die due …
GC–MS analysis, and evaluation of protective effect of Piper chaba stem bark against paracetamol-induced liver damage in Sprague-Dawley rats: Possible defensive …
The present study attempted to scrutinize the protective effect of the methanolic extract of P.
chaba stem bark against paracetamol-induced hepatotoxicity in Sprague− Dawley rats …
chaba stem bark against paracetamol-induced hepatotoxicity in Sprague− Dawley rats …
3D-QSAR studies, molecular docking, molecular dynamic simulation, and ADMET proprieties of novel pteridinone derivatives as PLK1 inhibitors for the treatment of …
Overexpression of polo-like kinase 1 (PLK1) has been found in many different types of
cancers. With its essential role in cell proliferation, PLK1 has been determined to be a broad …
cancers. With its essential role in cell proliferation, PLK1 has been determined to be a broad …
Effectiveness and safety of favipiravir compared to supportive care in moderately to critically ill COVID-19 patients: a retrospective study with propensity score …
Introduction Favipiravir is a repurposed drug to treat coronavirus 2019 (COVID-19). Due to a
lack of available real-world data, we assessed its effectiveness and safety in moderately to …
lack of available real-world data, we assessed its effectiveness and safety in moderately to …