ArticleViruses2019
A Bimolecular Multicellular Complementation System for the Detection of Syncytium Formation: A New Methodology for the Identification of Nipah Virus Entry Inhibitors.
Article in Viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 17 citations in OpenAlex.
- SARS-CoV-2 membrane protein biogenesis.bioRxiv : the preprint server for biology · 2026Article
- Nipah Virus Inhibitor Knowledgebase (NVIK): a combined evidence approach to prioritise small molecule inhibitors.Journal of cheminformatics · 2025Article
- The sequence and structural integrity of the SARS-CoV-2 Spike protein transmembrane domain is crucial for viral entry.Communications biology · 2025Article
- Mechanisms of Cell-Cell Fusion in SARS-CoV-2: An Evolving Strategy for Transmission and Immune Evasion.Viruses · 2025Review
- Genome data artifacts and functional studies of deletion repair in the BA.1 SARS-CoV-2 spike protein.Virus evolution · 2025Article
- Identification of small molecules capable of enhancing viral membrane fusion.Virology journal · 2023Article
- Envelope-Fusion-Syncytium Formation inViruses · 2022Article
- Differential immune responses in new and old fruit fly-parasitoid associations: Implications for their management.Frontiers in physiology · 2022Article
- Disruption of disulfides within RBD of SARS-CoV-2 spike protein prevents fusion and represents a target for viral entry inhibition by registered drugs.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Article
- Coiled-coil heterodimers with increased stability for cellular regulation and sensing SARS-CoV-2 spike protein-mediated cell fusion.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fusion of viral and cellular membranes is a key step during the viral life cycle. Enveloped viruses trigger this process by means of specialized viral proteins expressed on their surface, the so-called viral fusion proteins. There are multiple assays to analyze the viral entry including those that focus on the cell-cell fusion induced by some viral proteins. These methods often rely on the identification of multinucleated cells (syncytium) as a result of cell membrane fusions. In this manuscript, we describe a novel methodology for the study of cell-cell fusion. Our approach, named Bimolecular Multicellular Complementation (BiMuC), provides an adjustable platform to qualitatively and quantitatively investigate the formation of a syncytium. Furthermore, we demonstrated that our procedure meets the requirements of a drug discovery approach and performed a proof of concept small molecule high-throughput screening to identify compounds that could block the entry of the emerging Nipah virus.
Indexed as
Identifiers
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.