ArticleMolecular biotechnology2025
Identification of the Potential Role of the E4orf4 Protein in Adenovirus A, B, C, and D Groups in Cancer Therapy: Computational Approaches.
Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Integrative reverse vaccinology and computational modeling for the rational design of a broadly immunogenic multi-epitope vaccine against Marburg virus infection.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human adenovirus (HADV) early region 4 open reading frame 4 (E4orf4) protein plays a regulatory role in promoting viral infection by interacting with various cellular proteins. E4orf4 can induce death in cancer cells. One of the death pathways that is induced by this protein is related to the formation of membrane blebbing following the phosphorylation of tyrosine amino acids. The activation of this pathway requires the interaction of E4orf4 with Src family kinases (SFKs). The modulation mechanism of Src-dependent signaling via E4orf4 is not yet fully understood. However, evidence suggests that a physical association between the Src kinase domain and the arginine-rich motif of E4orf4 is crucial. Physically connecting E4orf4 to Src kinase leads to the deregulation of the Src-related signaling pathway, thereby inducing cytoplasmic death. In this study, we mapped the E4orf4 interaction site in Src to investigate the interaction between E4orf4 and Src in detail. We also compared the binding strength of E4orf4 proteins from different HADV groups. To this end, we performed bioinformatics structural analysis of the Src kinase domain and E4orf4 to identify E4orf4 interaction sites. The group with the lowest binding energy was predicted to be the most likely candidate for the highest cytoplasmic death in tumor cells based on the energy of the E4orf4-Src complex in various HADV groups. These results show that HADV-A and HADV-C have minimal binding energies to the E4orf4-Src complex, while the dissociation constant (Kd) of HADV-A was less than that of HADV-C. According to the obtained results, E4orf4 of the HADV-A group is more effective at triggering cytoplasmic death based on its most robust interaction with the Src kinase domain.
Indexed as
Identifiers
39269574What 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.