[HTML][HTML] 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 …
[HTML][HTML] EPI-SF: essential protein identification in protein interaction networks using sequence features
Proteins are considered indispensable for facilitating an organism's viability, reproductive
capabilities, and other fundamental physiological functions. Conventional biological assays …
capabilities, and other fundamental physiological functions. Conventional biological assays …
[HTML][HTML] Detection of spreader nodes in human-SARS-CoV protein-protein interaction network
The entire world is witnessing the coronavirus pandemic (COVID-19), caused by a novel
coronavirus (n-CoV) generally distinguished as Severe Acute Respiratory Syndrome …
coronavirus (n-CoV) generally distinguished as Severe Acute Respiratory Syndrome …
FuzzyPPI: Large-Scale Interaction of Human Proteome at Fuzzy Semantic Space
AK Halder, SS Bandyopadhyay… - … Transactions on Big …, 2024 - ieeexplore.ieee.org
Large-scale protein-protein interaction (PPI) network of an organism provides key insights
into its cellular and molecular functionalities, signaling pathways and underlying disease …
into its cellular and molecular functionalities, signaling pathways and underlying disease …
NCSML-HDTD: Network Centrality and sequence-based machine learning methodology for human drug targets discovery of COVID-19
S Jha, C Das, S Saha - … Conference on Frontiers in Computing and …, 2022 - Springer
Identifying druggable human proteins is crucial to combat certain diseases like COVID-19.
This actually paves the way for implementing the drug repurposing study for any disease …
This actually paves the way for implementing the drug repurposing study for any disease …
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
S Peyman, M Tang, V Lyzinski - arXiv preprint arXiv:2208.09710, 2022 - arxiv.org
As graph data becomes more ubiquitous, the need for robust inferential graph algorithms to
operate in these complex data domains is crucial. In many cases of interest, inference is …
operate in these complex data domains is crucial. In many cases of interest, inference is …
Identification of Human Drug Targets for COVID-19 Based on Subcellular Localization Information, Gene Expression Data, and Node2vec
C Das, S Saha - International Conference on Frontiers in Computing …, 2023 - Springer
For the last few years, humans have been searching for a good solution to the lethal disease
of COVID-19. Finding human proteins that can be drugged to fight diseases like this is vital …
of COVID-19. Finding human proteins that can be drugged to fight diseases like this is vital …
[HTML][HTML] Computational methods and strategies for combating COVID-19
S Basu, D Plewczynski - Methods (San Diego, Calif.), 2022 - ncbi.nlm.nih.gov
The special issue collects the original research papers on computational methods and
strategies for combating the COVID-19 pandemic. We proposed to cover the theoretical …
strategies for combating the COVID-19 pandemic. We proposed to cover the theoretical …