000290332 001__ 290332 000290332 005__ 20250820105511.0 000290332 0247_ $$2doi$$a10.1016/j.ijbiomac.2024.132468 000290332 0247_ $$2pmid$$apmid:38761900 000290332 0247_ $$2ISSN$$a0141-8130 000290332 0247_ $$2ISSN$$a1879-0003 000290332 0247_ $$2altmetric$$aaltmetric:163519140 000290332 037__ $$aDKFZ-2024-01060 000290332 041__ $$aEnglish 000290332 082__ $$a570 000290332 1001_ $$aTang, Kang$$b0 000290332 245__ $$aNetwork-based approach for drug repurposing against mpox. 000290332 260__ $$aNew York, NY [u.a.]$$bElsevier$$c2024 000290332 3367_ $$2DRIVER$$aarticle 000290332 3367_ $$2DataCite$$aOutput Types/Journal article 000290332 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1716358302_7220 000290332 3367_ $$2BibTeX$$aARTICLE 000290332 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000290332 3367_ $$00$$2EndNote$$aJournal Article 000290332 520__ $$aThe current outbreak of mpox presents a significant threat to the global community. However, the lack of mpox-specific drugs necessitates the identification of additional candidates for clinical trials. In this study, a network medicine framework was used to investigate poxviruses-human interactions to identify potential drugs effective against the mpox virus (MPXV). The results indicated that poxviruses preferentially target hubs on the human interactome, and that these virally-targeted proteins (VTPs) tend to aggregate together within specific modules. Comorbidity analysis revealed that mpox is closely related to immune system diseases. Based on predicted drug-target interactions, 268 drugs were identified using the network proximity approach, among which 23 drugs displaying the least side-effects and significant proximity to MPXV were selected as the final candidates. Lastly, specific drugs were explored based on VTPs, differentially expressed proteins, and intermediate nodes, corresponding to different categories. These findings provide novel insights that can contribute to a deeper understanding of the pathogenesis of MPXV and development of ready-to-use treatment strategies based on drug repurposing. 000290332 536__ $$0G:(DE-HGF)POF4-315$$a315 - Bildgebung und Radioonkologie (POF4-315)$$cPOF4-315$$fPOF IV$$x0 000290332 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de 000290332 650_7 $$2Other$$aComorbidity 000290332 650_7 $$2Other$$aDrug repurposing 000290332 650_7 $$2Other$$aMpox 000290332 650_7 $$2Other$$aVirushost interaction 000290332 7001_ $$aSun, Qianru$$b1 000290332 7001_ $$aZeng, Jinfeng$$b2 000290332 7001_ $$aTang, Jing$$b3 000290332 7001_ $$aCheng, Peiwen$$b4 000290332 7001_ $$0P:(DE-He78)58621186eeeae8ff31a0431a353c128f$$aQiu, Zekai$$b5$$udkfz 000290332 7001_ $$aLong, Haoyu$$b6 000290332 7001_ $$aChen, Yilin$$b7 000290332 7001_ $$aZhang, Chi$$b8 000290332 7001_ $$aWei, Jie$$b9 000290332 7001_ $$aQiu, Xiaoping$$b10 000290332 7001_ $$aJiang, Guozhi$$b11 000290332 7001_ $$aFang, Qianglin$$b12 000290332 7001_ $$aSun, Litao$$b13 000290332 7001_ $$aSun, Caijun$$b14 000290332 7001_ $$aDu, Xiangjun$$b15 000290332 773__ $$0PERI:(DE-600)1483284-7$$a10.1016/j.ijbiomac.2024.132468$$gVol. 270, no. 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