{"paper_id":"7acda409-0eed-48b9-97ef-bbb94cdd5cff","body_text":"Abstract\nEndometriosis is a gynecological disorder, characterized by debilitating pain and commonly associated with infertility. Medical therapies are often ineffective, with 25–34% of patients exhibit no or poor response, and many experiencing intolerable side effects that limit long term use. P300 is a critical histone acetyltransferase that promotes inflammation and invasion through epigenetic modulation of immune cells, and upregulation of pro-inflammatory gene expression. In this study, we aimed to identify potential inhibitors of p300 for treating endometriosis using computational drug repurposing. We performed a molecular docking-based virtual screening of 2,083 Food and Drug Administration (FDA) approved drugs against the crystal structure of p300 ligand-binding domain, followed by molecular dynamics (MD) simulations and Molecular Mechanics Poisson Boltzmann Surface Area (MM-PBSA) analysis to further assess the stability and the binding interactions of the top-ranked drugs. Three compounds, Naldemedine, Bictegravir and Zavegepant, exhibited favorable docking affinities and interaction profiles. Further evaluation using 300 ns molecular dynamics simulations and MM-PBSA analyses demonstrated that Bictegravir exhibited the most favorable binding in complex with p300. Lastly, these findings underscore the potential of bioinformatics approaches in providing valuable resources and novel perspective on therapeutic strategies that are often overlooked in the context of endometriosis.\nSimilar content being viewed by others\nAuthor information\nAuthors and Affiliations\nCorresponding author\nEthics declarations\nCompeting interests\nThe authors declare no competing interests.\nAdditional information\nPublisher’s note\nSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.\nSupplementary Information\nBelow is the link to the electronic supplementary material.\nRights and permissions\nOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.\nAbout this article\nCite this article\nErraji, H., Hakmi, M., Zarqaoui, M. et al. Computational drug repurposing against histone acetyltransferase p300 for non-hormonal treatment of endometriosis using virtual screening and molecular dynamics simulations. Sci Rep (2026). https://doi.org/10.1038/s41598-026-68337-5\nReceived:\nAccepted:\nPublished:\nDOI: https://doi.org/10.1038/s41598-026-68337-5","source_license":"CC0","license_restricted":false}