[HTML][HTML] Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning
The world is facing the COVID-19 pandemic caused by Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2). Likewise, other viruses of the Coronaviridae family were …
Coronavirus 2 (SARS-CoV-2). Likewise, other viruses of the Coronaviridae family were …
In silico drug discovery of Acetylcholinesterase and Butyrylcholinesterase enzymes inhibitors based on Quantitative Structure-Activity Relationship (QSAR) and drug …
In the last years, in order to achieve a better treatment of Alzheimer's disease (AD), much
focus has been put on the development of cholinesterase (Acetylcholinesterase and …
focus has been put on the development of cholinesterase (Acetylcholinesterase and …
[HTML][HTML] Computational identification of potential multitarget inhibitors of Nipah virus by molecular docking and molecular dynamics
Nipah virus (NiV) is a recently emerged paramyxovirus that causes severe encephalitis and
respiratory diseases in humans. Despite the severe pathogenicity of this virus and its …
respiratory diseases in humans. Despite the severe pathogenicity of this virus and its …
Anti-biofilm: Machine learning assisted prediction of IC50 activity of chemicals against biofilms of microbes causing antimicrobial resistance and implications in drug …
Biofilms are one of the leading causes of antibiotic resistance. It acts as a physical barrier
against the human immune system and drugs. The use of anti-biofilm agents helps in …
against the human immune system and drugs. The use of anti-biofilm agents helps in …
[HTML][HTML] Are we ready to fight the Nipah virus pandemic? An overview of drug targets, current medications, and potential leads
S Yang, S Kar - Structural Chemistry, 2023 - Springer
Nipah virus (NiV) is a high-lethality RNA virus from the family of Paramyxoviridae and genus
Henipavirus, classified under Biosafety Level-4 (BSL-4) pathogen due to the severity of …
Henipavirus, classified under Biosafety Level-4 (BSL-4) pathogen due to the severity of …
[HTML][HTML] Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing
Dengue outbreaks persist in global tropical regions, lacking approved antivirals,
necessitating critical therapeutic development against the virus. In this context, we …
necessitating critical therapeutic development against the virus. In this context, we …
[HTML][HTML] Nipah amidst Covid-19 pandemic, another re-emerging infectious disease of pandemic potential–a narrative review
A Kaliappan, V Kaliappan, JT Lakshmi, S Raja… - Maedica, 2022 - ncbi.nlm.nih.gov
Abstract Introduction: Nipah virus (NiV) was reported for the first time from the Kampung
Sungai Nipah village of Malaysia in 1998. Since then, there have been multiple outbreaks …
Sungai Nipah village of Malaysia in 1998. Since then, there have been multiple outbreaks …
[HTML][HTML] Biofilm-i: A Platform for Predicting Biofilm Inhibitors Using Quantitative Structure—Relationship (QSAR) Based Regression Models to Curb Antibiotic …
Antibiotic drug resistance has emerged as a major public health threat globally. One of the
leading causes of drug resistance is the colonization of microorganisms in biofilm mode …
leading causes of drug resistance is the colonization of microorganisms in biofilm mode …
Computational identification of repurposed drugs against viruses causing epidemics and pandemics via drug-target network analysis
Viral epidemics and pandemics are considered public health emergencies. However,
traditional and novel antiviral discovery approaches are unable to mitigate them in a timely …
traditional and novel antiviral discovery approaches are unable to mitigate them in a timely …
[HTML][HTML] Anti-Ebola: An initiative to predict Ebola virus inhibitors through machine learning
Ebola virus is a deadly pathogen responsible for a frequent series of outbreaks since 1976.
Despite various efforts from researchers worldwide, its mortality and fatality are quite high …
Despite various efforts from researchers worldwide, its mortality and fatality are quite high …