Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
COVID-19: a review on the novel coronavirus disease evolution, transmission, detection, control and prevention
A Sharma, I Ahmad Farouk, SK Lal - Viruses, 2021 - mdpi.com
Three major outbreaks of the coronavirus, a zoonotic virus known to cause respiratory
disease, have been reported since 2002, including SARS-CoV, MERS-CoV and the most …
disease, have been reported since 2002, including SARS-CoV, MERS-CoV and the most …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
Immunity, endothelial injury and complement-induced coagulopathy in COVID-19
In December 2019, a novel coronavirus was isolated from the respiratory epithelium of
patients with unexplained pneumonia in Wuhan, China. This pathogen, named severe acute …
patients with unexplained pneumonia in Wuhan, China. This pathogen, named severe acute …
Antibody-dependent enhancement and SARS-CoV-2 vaccines and therapies
Antibody-based drugs and vaccines against severe acute respiratory syndrome coronavirus
2 (SARS-CoV-2) are being expedited through preclinical and clinical development. Data …
2 (SARS-CoV-2) are being expedited through preclinical and clinical development. Data …
The COVID-19 pandemic: a global health crisis
CA Pollard, MP Morran… - Physiological …, 2020 - journals.physiology.org
The novel coronavirus SARS-CoV-2 was identified as the causative agent for a series of
atypical respiratory diseases in the Hubei Province of Wuhan, China in December of 2019 …
atypical respiratory diseases in the Hubei Province of Wuhan, China in December of 2019 …
The natural history, pathobiology, and clinical manifestations of SARS-CoV-2 infections
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiological agent of
coronavirus disease 2019 (COVID-19). SARS-CoV-2, is a positive-sense single-stranded …
coronavirus disease 2019 (COVID-19). SARS-CoV-2, is a positive-sense single-stranded …
Artificial intelligence in COVID-19 drug repurposing
Drug repurposing or repositioning is a technique whereby existing drugs are used to treat
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …
Overview of immune response during SARS-CoV-2 infection: lessons from the past
After the 1918 flu pandemic, the world is again facing a similar situation. However, the
advancement in medical science has made it possible to identify that the novel infectious …
advancement in medical science has made it possible to identify that the novel infectious …
Pulmonary fibrosis and COVID-19: the potential role for antifibrotic therapy
In December, 2019, reports emerged from Wuhan, China, of a severe acute respiratory
disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). By the …
disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). By the …