ArticleProteins2018
Computational characterization of the binding mode between oncoprotein Ets-1 and DNA-repair enzymes.
Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- DNA-PKcs, a player winding and dancing with RNA metabolism and diseases.Cellular & molecular biology letters · 2025Review
- ETS-1 in tumor immunology: implications for novel anti-cancer strategies.Frontiers in immunology · 2025Review
- Centrality Measures in Residue Interaction Networks to Highlight Amino Acids in Protein-Protein Binding.Frontiers in bioinformatics · 2021Article
- Article
- Computational characterization of the binding mode between oncoprotein Ets-1 and DNA-repair enzymes.Proteins · 2018Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The Ets-1 oncoprotein is a transcription factor that promotes target gene expression in specific biological processes. Typically, Ets-1 activity is low in healthy cells, but elevated levels of expression have been found in cancerous cells, specifically related to tumor progression. Like the vast majority of the cellular effectors, Ets-1 does not act alone but in association with partners. Given the important role that is attributed to Ets-1 in major human diseases, it is crucial to identify its partners and characterize their interactions. In this context, two DNA-repair enzymes, PARP-1 and DNA-PK, have been identified recently as interaction partners of Ets-1. We here identify their binding mode by means of protein docking. The results identify the interacting surface between Ets-1 and the two DNA-repair enzymes centered on the α-helix H1 of the ETS domain, leaving α-helix H3 available to bind DNA. The models highlight a hydrophobic patch on Ets-1 at the center of the interaction interface that includes three tryptophans (Trp338, Trp356, and Trp361). We rationalize the binding mode using a series of computational analyses, including alanine scanning, molecular dynamics simulation, and residue centrality analysis. Our study constitutes a first but important step in the characterization, at the molecular level, of the interaction between an oncoprotein and DNA-repair enzymes.
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Registered trials
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