ReviewBriefings in functional genomics2018
Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-human interactions.
Review in Briefings in functional genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 30 citations in OpenAlex.
- RNA binding motif 4 inhibits the replication of ebolavirus by directly targeting 3'-leader region of genomic RNA.Emerging microbes & infections · 2024Article
- Assessment of GO-Based Protein Interaction Affinities in the Large-Scale Human-Coronavirus Family Interactome.Vaccines · 2023Article
- Drug repurposing for COVID-19 using computational screening: Is Fostamatinib/R406 a potential candidate?Methods (San Diego, Calif.) · 2022Article
- Computational modeling of human-nCoV protein-protein interaction network.Methods (San Diego, Calif.) · 2022Article
- Computational Network Inference for Bacterial Interactomics.mSystems · 2022Review
- In silico prediction of HIV-1-host molecular interactions and their directionality.PLoS computational biology · 2022Article
- PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms.Frontiers in genetics · 2022Article
- Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2.Cell discovery · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of potential virus-host interactions is useful and vital to control the highly infectious virus-caused diseases. This may contribute toward development of new drugs to treat the viral infections. Recently, database records of clinically and experimentally validated interactions between a small set of human proteins and Ebola virus (EBOV) have been published. Using the information of the known human interaction partners of EBOV, our main objective is to identify a set of proteins that may interact with EBOV proteins. Here, we first review the state-of-the-art, computational methods used for prediction of novel virus-host interactions for infectious diseases followed by a case study on EBOV-human interactions. The assessment result shows that the predicted human host proteins are highly similar with known human interaction partners of EBOV in the context of structure and semantics and are responsible for similar biochemical activities, pathways and host-pathogen relationships.
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Registered trials
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