Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2
Human coronaviruses (HCoVs), including severe acute respiratory syndrome coronavirus
(SARS-CoV) and 2019 novel coronavirus (2019-nCoV, also known as SARS-CoV-2), lead …
(SARS-CoV) and 2019 novel coronavirus (2019-nCoV, also known as SARS-CoV-2), lead …
Targeting virus-host protein interactions: Feature extraction and machine learning approaches
N Zheng, K Wang, W Zhan, L Deng - Current drug metabolism, 2019 - ingentaconnect.com
Background: Targeting critical viral-host Protein-Protein Interactions (PPIs) has enormous
application prospects for therapeutics. Using experimental methods to evaluate all possible …
application prospects for therapeutics. Using experimental methods to evaluate all possible …
Computational network inference for bacterial interactomics
K James, J Muñoz-Muñoz - Msystems, 2022 - Am Soc Microbiol
Since the large-scale experimental characterization of protein–protein interactions (PPIs) is
not possible for all species, several computational PPI prediction methods have been …
not possible for all species, several computational PPI prediction methods have been …
Drug repurposing for COVID-19 using computational screening: Is Fostamatinib/R406 a potential candidate?
With the gradual increase in the COVID-19 mortality rate, there is an urgent need for an
effective drug/vaccine. Several drugs like Remdesivir, Azithromycin, Favirapir, Ritonavir …
effective drug/vaccine. Several drugs like Remdesivir, Azithromycin, Favirapir, Ritonavir …
Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions
In recent years, high-throughput experimental techniques have significantly enhanced the
accuracy and coverage of protein–protein interaction identification, including human …
accuracy and coverage of protein–protein interaction identification, including human …
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 …
PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms
Protein function prediction is gradually emerging as an essential field in biological and
computational studies. Though the latter has clinched a significant footprint, it has been …
computational studies. Though the latter has clinched a significant footprint, it has been …
CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification
Discrimination of circular RNA from long non-coding RNA is important to understand its role
in different biological processes, disease prediction and cure. Identifying circular RNA …
in different biological processes, disease prediction and cure. Identifying circular RNA …
RNA binding motif 4 inhibits the replication of ebolavirus by directly targeting 3′-leader region of genomic RNA
L Fan, Y Wang, H Huang, Z Wang, C Liang… - Emerging Microbes & …, 2024 - Taylor & Francis
Ebola virus (EBOV) belongs to Filoviridae family possessing single-stranded negative-sense
RNA genome, which is a serious threat to human health. Nowadays, no therapeutics have …
RNA genome, which is a serious threat to human health. Nowadays, no therapeutics have …
Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions
L Dey, S Chakraborty - Gene, 2025 - Elsevier
The goal of this research work is to predict protein–protein interactions (PPIs) between the
Ebola virus and the host who is at risk of infection. Since there are very limited databases …
Ebola virus and the host who is at risk of infection. Since there are very limited databases …