Computational drug repurposing for viral infectious diseases: a case study on monkeypox
The traditional method of drug reuse or repurposing has significantly contributed to the
identification of new antiviral compounds and therapeutic targets, enabling rapid response …
identification of new antiviral compounds and therapeutic targets, enabling rapid response …
Differential co-expression network analysis reveals key hub-high traffic genes as potential therapeutic targets for COVID-19 pandemic
Background The recent emergence of COVID-19, rapid worldwide spread, and incomplete
knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited …
knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited …
Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithms
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the fast discovery
of effective treatments to fight this worldwide concern. Several genes associated with the …
of effective treatments to fight this worldwide concern. Several genes associated with the …
Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment
The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide.
Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well …
Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well …
Deciphering the complete human-monkeypox virus interactome: Identifying immune responses and potential drug targets
Monkeypox virus (MPXV) is a dsDNA virus, belonging to Poxviridae family. The outbreak of
monkeypox disease in humans is critical in European and Western countries, owing to its …
monkeypox disease in humans is critical in European and Western countries, owing to its …
Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation
The pharmacological arsenal against the COVID-19 pandemic is largely based on generic
anti-inflammatory strategies or poorly scalable solutions. Moreover, as the ongoing …
anti-inflammatory strategies or poorly scalable solutions. Moreover, as the ongoing …
Computational approach to combat COVID-19 infection: emerging tools for accelerating drug research
Background: The process of drug discovery and development is expensive, complex,
timeconsuming, and risky. There are different techniques involved in the process of drug …
timeconsuming, and risky. There are different techniques involved in the process of drug …
ML-DTD: machine learning-based drug target discovery for the potential treatment of COVID-19
Recent research has highlighted that a large section of druggable protein targets in the
Human interactome remains unexplored for various diseases. It might lead to the drug …
Human interactome remains unexplored for various diseases. It might lead to the drug …
Assessment of GO-based protein interaction affinities in the large-scale human–coronavirus family interactome
SARS-CoV-2 is a novel coronavirus that replicates itself via interacting with the host
proteins. As a result, identifying virus and host protein-protein interactions could help …
proteins. As a result, identifying virus and host protein-protein interactions could help …
TiO2/Arabic Gum for Degradation of Pollutants in Water
A Lopes, FP Araújo, D Damasceno, LMC Honório… - Sustainability, 2023 - mdpi.com
Emerging contaminants and pollution are environmental problems threatening public health.
Antibiotic ciprofloxacin and methylene blue dye are pollutants frequently detected in water …
Antibiotic ciprofloxacin and methylene blue dye are pollutants frequently detected in water …