ArticleBriefings in bioinformatics2021
Data science in unveiling COVID-19 pathogenesis and diagnosis: evolutionary origin to drug repurposing.
Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Multi-DDA: drug-disease association prediction using a hybrid graph convolutional network with multi-modal drug representations.Bioinformatics advances · 2026Article
- RA-PLA: Retrieval-augmented graph convolutional networks for protein-ligand binding affinity prediction.PloS one · 2026Article
- Leveraging graph neural networks for supporting automatic triage of patients.Scientific reports · 2024Article
- The Omicron XBB.1 Variant and Its Descendants: Genomic Mutations, Rapid Dissemination and Notable Characteristics.Biology · 2024Article
- Strategies and Trends in COVID-19 Vaccination Delivery: What We Learn and What We May Use for the Future.Vaccines · 2023Article
- COVID Variants, Villain and Victory: A Bioinformatics Perspective.Microorganisms · 2023Article
- The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19.Journal of healthcare informatics research · 2023Article
- Computational analysis of the sequence-structure relation in SARS-CoV-2 spike protein using protein contact networks.Scientific reports · 2023Article
- SARS-CoV-2 protein structure and sequence mutations: Evolutionary analysis and effects on virus variants.PloS one · 2023Article
- Structural analysis of SARS-CoV-2 Spike protein variants through graph embedding.Network modeling and analysis in health informatics and bioinformatics · 2023Article
- Temporal networks in biology and medicine: a survey on models, algorithms, and tools.Network modeling and analysis in health informatics and bioinformatics · 2023Review
- Transmission cluster characteristics of global, regional, and lineage-specific SARS-CoV-2 phylogenies.IEEE International Conference on Bioinformatics and Biomedicine workshops. IEEE International Conference on Bioinformatics and Biomedicine · 2022Article
- Characterizing genomic variants and mutations in SARS-CoV-2 proteins from Indian isolates.Gene reports · 2021Article
- Mutation-Induced Long-Range Allosteric Interactions in the Spike Protein Determine the Infectivity of SARS-CoV-2 Emerging Variants.ACS omega · 2021Article
- Analyzing host-viral interactome of SARS-CoV-2 for identifying vulnerable host proteins during COVID-19 pathogenesis.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021Article
- A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-19.Journal of biomedical informatics · 2021Article
- Probabilistic domain-knowledge modeling of disorder pathogenesis for dynamics forecasting of acute onset.Artificial intelligence in medicine · 2021Article
- Repurposing of Drugs for SARS-CoV-2 Using Inverse Docking Fingerprints.Frontiers in chemistry · 2021Article
- Exploiting the molecular basis of age and gender differences in outcomes of SARS-CoV-2 infections.Computational and structural biotechnology journal · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationThe outbreak of novel severe acute respiratory syndrome coronavirus (SARS-CoV-2, also known as COVID-19) in Wuhan has attracted worldwide attention. SARS-CoV-2 causes severe inflammation, which can be fatal. Consequently, there has been a massive and rapid growth in research aimed at throwing light on the mechanisms of infection and the progression of the disease. With regard to this data science is playing a pivotal role in in silico analysis to gain insights into SARS-CoV-2 and the outbreak of COVID-19 in order to forecast, diagnose and come up with a drug to tackle the virus. The availability of large multiomics, radiological, bio-molecular and medical datasets requires the development of novel exploratory and predictive models, or the customisation of existing ones in order to fit the current problem. The high number of approaches generates the need for surveys to guide data scientists and medical practitioners in selecting the right tools to manage their clinical data.
resultsFocusing on data science methodologies, we conduct a detailed study on the state-of-the-art of works tackling the current pandemic scenario. We consider various current COVID-19 data analytic domains such as phylogenetic analysis, SARS-CoV-2 genome identification, protein structure prediction, host-viral protein interactomics, clinical imaging, epidemiological research and drug discovery. We highlight data types and instances, their generation pipelines and the data science models currently in use. The current study should give a detailed sketch of the road map towards handling COVID-19 like situations by leveraging data science experts in choosing the right tools. We also summarise our review focusing on prime challenges and possible future research directions. CONTACT: hguzzi@unicz.it, sroy01@cus.ac.in.
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