ArticleNature methods2021
A 3D structural SARS-CoV-2-human interactome to explore genetic and drug perturbations.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- Twenty years of genome-wide association studies: Health translation challenges and AI opportunities.European journal of human genetics : EJHG · 2025Review
- A structurally informed human protein-protein interactome reveals proteome-wide perturbations caused by disease mutations.Nature biotechnology · 2025Article
- Binding affinity between coronavirus spike protein and human ACE2 receptor.Computational and structural biotechnology journal · 2024Review
- Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks.Cell reports · 2024Article
- Predicting human and viral protein variants affecting COVID-19 susceptibility and repurposing therapeutics.Scientific reports · 2024Article
- Efficient preparation of high-purity and intact mesenchymal stem cell-derived extracellular vesicles.Analytical and bioanalytical chemistry · 2024Article
- Structurally-informed human interactome reveals proteome-wide perturbations by disease mutations.bioRxiv : the preprint server for biology · 2024Article
- From bench to bedside via bytes: Multi-omic immunoprofiling and integration using machine learning and network approaches.Human vaccines & immunotherapeutics · 2023Review
- SARS-CoV-2 proteins structural studies using synchrotron radiation.Biophysical reviews · 2023Review
- Total network controllability analysis discovers explainable drugs for Covid-19 treatment.Biology direct · 2023Article
- Selenoprotein S Interacts with the Replication and Transcription Complex of SARS-CoV-2 by Binding nsp7.Journal of molecular biology · 2023Article
- The World Needs a "Pandamic" Solution for a Pandemic Problem.China CDC weekly · 2022Article
- 1,000 ancient genomes uncover 10,000 years of natural selection in Europe.bioRxiv : the preprint server for biology · 2022Article
- CoVMBiomolecules · 2022Article
- Looking at COVID-19 from a Systems Biology Perspective.Biomolecules · 2022Review
- Network Pharmacology and Bioinformatics Analyses Identify Intersection Genes of Vitamin D3 and COVID-19 as Potential Therapeutic Targets.Frontiers in pharmacology · 2022Article
- A SARS-CoV-2 Spike Receptor Binding Motif Peptide Induces Anti-Spike Antibodies in Mice andIs Recognized by COVID-19 Patients.Frontiers in immunology · 2022Article
- The Intricacy of the Viral-Human Protein Interaction Networks: Resources, Data, and Analyses.Frontiers in microbiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Emergence of new viral agents is driven by evolution of interactions between viral proteins and host targets. For instance, increased infectivity of SARS-CoV-2 compared to SARS-CoV-1 arose in part through rapid evolution along the interface between the spike protein and its human receptor ACE2, leading to increased binding affinity. To facilitate broader exploration of how pathogen-host interactions might impact transmission and virulence in the ongoing COVID-19 pandemic, we performed state-of-the-art interface prediction followed by molecular docking to construct a three-dimensional structural interactome between SARS-CoV-2 and human. We additionally carried out downstream meta-analyses to investigate enrichment of sequence divergence between SARS-CoV-1 and SARS-CoV-2 or human population variants along viral-human protein-interaction interfaces, predict changes in binding affinity by these mutations/variants and further prioritize drug repurposing candidates predicted to competitively bind human targets. We believe this resource ( http://3D-SARS2.yulab.org ) will aid in development and testing of informed hypotheses for SARS-CoV-2 etiology and treatments.
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What OpenQuestion holds
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.