ArticleFrontiers in bioinformatics2024
Human cytokine and coronavirus nucleocapsid protein interactivity using large-scale virtual screens.
Article in Frontiers in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
The trial behind it
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Who cites it
6 citing papers in PubMed.
- Review
- Chemokines simultaneously bind SARS-CoV-2 nucleocapsid protein RNA-binding and dimerization domains.Virology journal · 2025Article
- AI-based antibody design targeting recent H5N1 avian influenza strains.Computational and structural biotechnology journal · 2025Article
- EuDockScore: Euclidean graph neural networks for scoring protein-protein interfaces.Bioinformatics (Oxford, England) · 2024Article
- Cell surface RNA virus nucleocapsid proteins: a viral strategy for immunosuppression?Npj viruses · 2024Review
- PD-1 Targeted Antibody Discovery Using AI Protein Diffusion.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the interactions between SARS-CoV-2 and the human immune system is paramount to the characterization of novel variants as the virus co-evolves with the human host. In this study, we employed state-of-the-art molecular docking tools to conduct large-scale virtual screens, predicting the binding affinities between 64 human cytokines against 17 nucleocapsid proteins from six betacoronaviruses. Our comprehensive
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.