[HTML][HTML] Drug repurposing strategy (DRS): Emerging approach to identify potential therapeutics for treatment of novel coronavirus infection
BM Sahoo, BVV Ravi Kumar, J Sruti… - Frontiers in Molecular …, 2021 - frontiersin.org
Drug repurposing is also termed as drug repositioning or therapeutic switching. This method
is applied to identify the novel therapeutic agents from the existing FDA approved clinically …
is applied to identify the novel therapeutic agents from the existing FDA approved clinically …
Biomedical data and computational models for drug repositioning: a comprehensive review
Drug repositioning can drastically decrease the cost and duration taken by traditional drug
research and development while avoiding the occurrence of unforeseen adverse events …
research and development while avoiding the occurrence of unforeseen adverse events …
Computational studies of drug repurposing and synergism of lopinavir, oseltamivir and ritonavir binding with SARS-CoV-2 protease against COVID-19
N Muralidharan, R Sakthivel… - Journal of …, 2021 - Taylor & Francis
A novel coronavirus, formally named as severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) has caused coronavirus disease 2019 (COVID-19) worldwide, and it is the …
(SARS-CoV-2) has caused coronavirus disease 2019 (COVID-19) worldwide, and it is the …
[HTML][HTML] Machine learning applications in drug development
Due to the huge amount of biological and medical data available today, along with well-
established machine learning algorithms, the design of largely automated drug development …
established machine learning algorithms, the design of largely automated drug development …
Knowledge graphs and their applications in drug discovery
F MacLean - Expert opinion on drug discovery, 2021 - Taylor & Francis
Introduction Knowledge graphs have proven to be promising systems of information storage
and retrieval. Due to the recent explosion of heterogeneous multimodal data sources …
and retrieval. Due to the recent explosion of heterogeneous multimodal data sources …
Emergence of drug discovery in machine learning
SN Roy, S Mishra, SM Yusof - Technical advancements of machine …, 2021 - Springer
The discovery of drugs and its pipelines formulation is tough, long, and depend on various
factors. Machine Learning comes as a savior to this field and supplies different tools and …
factors. Machine Learning comes as a savior to this field and supplies different tools and …
[HTML][HTML] Natural product remedies for COVID-19: A focus on safety
AG Omokhua-Uyi, J Van Staden - South African Journal of Botany, 2021 - Elsevier
Infection by the novel coronavirus SARS-CoV-2 causing the coronavirus disease (COVID-
19), is currently a global pandemic with more than two million deaths to date. Though a …
19), is currently a global pandemic with more than two million deaths to date. Though a …
Computational drug repurposing: current trends
Biomedical discovery has been reshaped upon the exploding digitization of data which can
be retrieved from a number of sources, ranging from clinical pharmacology to …
be retrieved from a number of sources, ranging from clinical pharmacology to …
Matrix factorization-based technique for drug repurposing predictions
Classical drug design methodologies are hugely costly and time-consuming, with
approximately 85% of the new proposed molecules failing in the first three phases of the …
approximately 85% of the new proposed molecules failing in the first three phases of the …
Importance of glutamine 189 flexibility in SARS-CoV-2 main protease: Lesson learned from in silico virtual screening of ChEMBL database and molecular dynamics
The current global pandemic outbreak of COVID-19, caused by the SARS-CoV-2, strikes an
invincible damage to both daily life and the global economy. WHO guidelines for COVID-19 …
invincible damage to both daily life and the global economy. WHO guidelines for COVID-19 …