https://m2.mtmt.hu/ hun 2026-09-22 19:44 JournalArticle 32876020 VALIDATED true These authors contributed equally: Péter Mendik, Márk Kerestély Funding details: Semmelweis Egyetem, 2020-4.1.1, TKP2020, TKP2021-EGA-24 Funding details: Emberi Eroforrások Minisztériuma, EMMI Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, K131458 Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA Funding details: Innovációs és Technológiai Minisztérium, ÚNKP-20-III-2-SE-23 Funding text 1: The authors appreciate the support of Prof Réka Albert, her ideas and comments in finalizing the manuscript. We are also grateful for the contribution of Orsolya Utasi during the data collection and of Donát Buszlai for creating our webserver. This work was supported by the Hungarian National Research, Development and Innovation Office [K131458], by the Higher Education Institutional Excellence Programme of the Ministry of Human Capacities in Hungary, within the framework of the Molecular Biology thematic programmes of Semmelweis University, by the Thematic Excellence Programme (Tématerületi Kiválósági Program, 2020-4.1.1.-TKP2020, TKP2021-EGA-24) of the Ministry for Innovation and Technology in Hungary, within the framework of the Molecular Biology thematic programme of the Semmelweis University, and supported by the ÚNKP-20-III-2-SE-23 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation fund. 0 false 2026-09-21T06:33:51.934+0000 2023-05-14T23:15:44.135+0000 2022-06-14T08:18:34.258+0000 true 10019982 Sonnevend Kinga /api/admin/10019982 Admin Sonnevend Kinga (SE_AOK_OrvVegytan_Admin5_SK, admin) true 10019982 2025-01-22T12:05:17.750+0000 2022-08-31T10:57:39.413+0000 true 10062062 Gere Tamásné /api/admin/10062062 Admin Gere Tamásné (SE_KK_Admin5_GT, admin) true 10062062 true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Mendik, Péter true true /api/journal/10073084 REVIEWED NPJ SYSTEMS BIOLOGY AND APPLICATIONS 2056-7189 true false 10073084 false 10073084 true 2056-7189 Journal FOREIGN 8 1 19 19 11 2022 Funding 2015495 /api/funding/2015495 (Open access funding provided by Semmelweis University) false true true true 2022 true true true false false NONE 2026-09-21 false 6 0 6 3 2 6 6 5 6 6 6 3 3 3 3 0 6 3 6 3 0 9 9 Folyóiratcikk Journal Article 24 6 Könyvrészlet Chapter in Book 25 0 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2024 0 2 2 2 2 2025 0 2 1 2 1 2026 0 2 0 2 0 D1 false 10050101 false false false 2022-06-29T07:33:20.923+0000 Biokémiai és Molekuláris Biológiai Intézet (SE / AOK / I); 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Scott, J. D. & Pawson, T. Cell signaling in space and time: where proteins come together and when they’re apart. Science 326, 1220–1224 (2009)., DOI: 10.1126/science.1175668 1 10.1126/science.1175668 false true Reference 31603364 /api/reference/31603364 2. Gabaldón, T. & Pittis, A. A. Origin and evolution of metabolic sub-cellular compartmentalization in eukaryotes. Biochimie 119, 262–268 (2015)., DOI: 10.1016/j.biochi.2015.03.021 2 10.1016/j.biochi.2015.03.021 false true Reference 31603365 /api/reference/31603365 3. Andrade, M. A., O’Donoghue, S. I. & Rost, B. Adaptation of protein surfaces to subcellular location 11 Edited by F. E. Cohen. J. Molecular Biol. 276, 517–525, (1998)., DOI: 10.1006/jmbi.1997.1498 3 10.1006/jmbi.1997.1498 false true Reference 31603366 /api/reference/31603366 4. Csermely, P. et al. Learning of signaling networks: molecular mechanisms. Trends Biochem Sci. 45, 284–294 (2020)., DOI: 10.1016/j.tibs.2019.12.005 4 10.1016/j.tibs.2019.12.005 false true Reference 31603367 /api/reference/31603367 5. Mendik, P. et al. Translocatome: a novel resource for the analysis of protein translocation between cellular organelles. Nucleic Acids Res. 47, D495–D505 (2019)., DOI: 10.1093/nar/gky1044 5 10.1093/nar/gky1044 false true Reference 31603368 /api/reference/31603368 6. Laurila, K. & Vihinen, M. Prediction of disease-related mutations affecting protein localization. BMC Genomics 10, 122 (2009)., DOI: 10.1186/1471-2164-10-122 6 10.1186/1471-2164-10-122 false true Reference 31603369 /api/reference/31603369 7. Park, S. et al. Protein localization as a principal feature of the etiology and comorbidity of genetic diseases. Mol. Syst. Biol. 7, 494 (2011)., DOI: 10.1038/msb.2011.29 7 10.1038/msb.2011.29 false true Reference 31603370 /api/reference/31603370 8. Dhillon, P. K. et al. Aberrant cytoplasmic expression of p63 and prostate cancer mortality. Cancer Epidemiol. Biomark. Prev. 18, 595–600 (2009)., DOI: 10.1158/1055-9965.EPI-08-0785 8 10.1158/1055-9965.EPI-08-0785 false true Reference 31603371 /api/reference/31603371 9. Wang, J. et al. XPO1 inhibition synergizes with PARP1 inhibition in small cell lung cancer by targeting nuclear transport of FOXO3a. Cancer Lett. 503, 197–212 (2021)., DOI: 10.1016/j.canlet.2021.01.008 9 10.1016/j.canlet.2021.01.008 false true Reference 31603372 /api/reference/31603372 10. Thul, P. J. et al. A subcellular map of the human proteome. Science 356, eaal3321 (2017)., DOI: 10.1126/science.aal3321 10 10.1126/science.aal3321 false true Reference 31603373 /api/reference/31603373 11. Nieto, M. A., Huang, R. Y., Jackson, R. A. & Thiery, J. P. EMT: 2016. Cell 166, 21–45 (2016)., DOI: 10.1016/j.cell.2016.06.028 11 10.1016/j.cell.2016.06.028 false true Reference 31603374 /api/reference/31603374 12. Yang, J. & Weinberg, R. A. Epithelial-mesenchymal transition: at the crossroads of development and tumor metastasis. Dev. Cell 14, 818–829 (2008)., DOI: 10.1016/j.devcel.2008.05.009 12 10.1016/j.devcel.2008.05.009 false true Reference 31603375 /api/reference/31603375 13. Yang, J. et al. Guidelines and definitions for research on epithelial–mesenchymal transition. Nat. Rev. Mol. Cell Biol. 21, 341–352 (2020)., DOI: 10.1038/s41580-020-0237-9 13 10.1038/s41580-020-0237-9 false true Reference 31603376 /api/reference/31603376 14. Gonzalez, D. M. & Medici, D. Signaling mechanisms of the epithelial-mesenchymal transition. Sci. Signal 7, re8 (2014)., DOI: 10.1126/scisignal.2005189 14 10.1126/scisignal.2005189 false true Reference 31603377 /api/reference/31603377 15. Chaw, S. Y. et al. Epithelial to mesenchymal transition (EMT) biomarkers – E-cadherin, beta-catenin, APC and Vimentin – in oral squamous cell carcinogenesis and transformation. Oral. Oncol. 48, 997–1006 (2012)., DOI: 10.1016/j.oraloncology.2012.05.011 15 10.1016/j.oraloncology.2012.05.011 false true Reference 31603378 /api/reference/31603378 16. Csermely, P., Korcsmáros, T., Kiss, H. J. M., London, G. & Nussinov, R. Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review. Pharmacol. Therapeutics 138, 333–408 (2013)., DOI: 10.1016/j.pharmthera.2013.01.016 16 10.1016/j.pharmthera.2013.01.016 false true Reference 31603379 /api/reference/31603379 17. Hastings, J. F., O’Donnell, Y. E. I., Fey, D. & Croucher, D. R. Applications of personalised signalling network models in precision oncology. Pharmacol. Therapeutics 212, 107555 (2020)., DOI: 10.1016/j.pharmthera.2020.107555 17 10.1016/j.pharmthera.2020.107555 false true Reference 31603380 /api/reference/31603380 18. Hyduke, D. R. & Palsson, B. Ø. Towards genome-scale signalling-network reconstructions. Nat. Rev. Genet. 11, 297–307 (2010)., DOI: 10.1038/nrg2750 18 10.1038/nrg2750 false true Reference 31603381 /api/reference/31603381 19. Albert, I., Thakar, J., Li, S., Zhang, R. & Albert, R. Boolean network simulations for life scientists. Source Code Biol. Med 3, 16 (2008)., DOI: 10.1186/1751-0473-3-16 19 10.1186/1751-0473-3-16 false true Reference 31603382 /api/reference/31603382 20. Burger, G. A., Danen, E. H. J. & Beltman, J. B. Deciphering epithelial-mesenchymal transition regulatory networks in cancer through computational approaches. Front Oncol. 7, 162 (2017)., DOI: 10.3389/fonc.2017.00162 20 10.3389/fonc.2017.00162 false true Reference 31603383 /api/reference/31603383 21. Schmitz, Y., Rateitschak, K. & Wolkenhauer, O. Analysing the impact of nucleo-cytoplasmic shuttling of β-catenin and its antagonists APC, Axin and GSK3 on Wnt/β-catenin signalling. Cell. Signal. 25, 2210–2221 (2013)., DOI: 10.1016/j.cellsig.2013.07.005 21 10.1016/j.cellsig.2013.07.005 false true Reference 31603384 /api/reference/31603384 22. He, P., Qiu, K. & Jia, Y. Modeling of mesenchymal hybrid epithelial state and phenotypic transitions in EMT and MET processes of cancer cells. Sci. Rep. 8, 14323 (2018)., DOI: 10.1038/s41598-018-32737-z 22 10.1038/s41598-018-32737-z false true Reference 31603385 /api/reference/31603385 23. Steinway, S. N. et al. Network modeling of TGFbeta signaling in hepatocellular carcinoma epithelial-to-mesenchymal transition reveals joint sonic hedgehog and Wnt pathway activation. Cancer Res. 74, 5963–5977 (2014)., DOI: 10.1158/0008-5472.CAN-14-0225 23 10.1158/0008-5472.CAN-14-0225 false true Reference 31603386 /api/reference/31603386 24. Katsuno, Y. & Derynck, R. Epithelial plasticity, epithelial-mesenchymal transition, and the TGF-β family. Dev. Cell 56, 726–746 (2021)., DOI: 10.1016/j.devcel.2021.02.028 24 10.1016/j.devcel.2021.02.028 false true Reference 31603387 /api/reference/31603387 25. Ashburner, M. et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29 (2000)., DOI: 10.1038/75556 25 10.1038/75556 false true Reference 31603388 /api/reference/31603388 26. min, K.-W., Lee, S.-H. & Baek, S. J. Moonlighting proteins in cancer. Cancer Lett. 370, 108–116 (2016)., DOI: 10.1016/j.canlet.2015.09.022 26 10.1016/j.canlet.2015.09.022 false true Reference 31603389 /api/reference/31603389 27. Mani, M. et al. MoonProt: a database for proteins that are known to moonlight. Nucleic Acids Res. 43, D277–D282 (2015)., DOI: 10.1093/nar/gku954 27 10.1093/nar/gku954 false true Reference 31603390 /api/reference/31603390 28. Kauffman, S. A. Metabolic stability and epigenesis in randomly constructed genetic nets. J. Theor. Biol. 22, 437–467 (1969)., DOI: 10.1016/0022-5193(69)90015-0 28 10.1016/0022-5193(69)90015-0 false true Reference 31603391 /api/reference/31603391 29. Wang, R.-S., Saadatpour, A. & Albert, R. Boolean modeling in systems biology: an overview of methodology and applications. Phys. Biol. 9, 055001 (2012)., DOI: 10.1088/1478-3975/9/5/055001 29 10.1088/1478-3975/9/5/055001 false true Reference 31603392 /api/reference/31603392 30. Zañudo, J. G. T. & Albert, R. Cell fate reprogramming by control of intracellular network dynamics. PLOS Computational Biol. 11, e1004193 (2015)., DOI: 10.1371/journal.pcbi.1004193 30 10.1371/journal.pcbi.1004193 false true Reference 31603393 /api/reference/31603393 31. Steinway, S. N. et al. Combinatorial interventions inhibit TGFbeta-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes. NPJ Syst. Biol. Appl. 1, 15014 (2015)., DOI: 10.1038/npjsba.2015.14 31 10.1038/npjsba.2015.14 false true Reference 31603394 /api/reference/31603394 32. Rozum, J. C., Gomez Tejeda Zañudo, J., Gan, X., Deritei, D. & Albert, R. Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks. Sci. Adv. 7, eabf8124 (2021)., DOI: 10.1126/sciadv.abf8124 32 10.1126/sciadv.abf8124 false true Reference 31603395 /api/reference/31603395 33. Zañudo, J. G. T. & Albert, R. An effective network reduction approach to find the dynamical repertoire of discrete dynamic networks. Chaos: Interdiscip. J. Nonlinear Sci. 23, 025111 (2013)., DOI: 10.1063/1.4809777 33 10.1063/1.4809777 false true Reference 31603396 /api/reference/31603396 34. Rozum, J. C., Deritei, D., Park, K. H., Zañudo, J. G. T. & Albert, R. pystablemotifs: Python library for attractor identification and control in Boolean networks. Bioinformatics 38, 1465–1466 (2022)., DOI: 10.1093/bioinformatics/btab825 34 10.1093/bioinformatics/btab825 false true Reference 31603397 /api/reference/31603397 35. Borriello, E. & Daniels, B. C. The basis of easy controllability in Boolean networks. Nat. Commun. 12, 5227 (2021)., DOI: 10.1038/s41467-021-25533-3 35 10.1038/s41467-021-25533-3 false true Reference 31603398 /api/reference/31603398 36. Natsuizaka, M. et al. Interplay between Notch1 and Notch3 promotes EMT and tumor initiation in squamous cell carcinoma. Nat. Commun. 8, 1758 (2017)., DOI: 10.1038/s41467-017-01500-9 36 10.1038/s41467-017-01500-9 false true Reference 31603399 /api/reference/31603399 37. Chanrion, M. et al. Concomitant Notch activation and p53 deletion trigger epithelial-to-mesenchymal transition and metastasis in mouse gut. Nat. Commun. 5, 5005 (2014)., DOI: 10.1038/ncomms6005 37 10.1038/ncomms6005 false true Reference 31603400 /api/reference/31603400 38. Kurimoto, R. et al. Drug resistance originating from a TGF-β/FGF-2-driven epithelial-to-mesenchymal transition and its reversion in human lung adenocarcinoma cell lines harboring an EGFR mutation. Int J. Oncol. 48, 1825–1836 (2016)., DOI: 10.3892/ijo.2016.3419 38 10.3892/ijo.2016.3419 false true Reference 31603401 /api/reference/31603401 39. Lemieux, E. et al. Constitutively active MEK1 is sufficient to induce epithelial-to-mesenchymal transition in intestinal epithelial cells and to promote tumor invasion and metastasis. Int J. Cancer 125, 1575–1586 (2009)., DOI: 10.1002/ijc.24485 39 10.1002/ijc.24485 false true Reference 31603402 /api/reference/31603402 40. Buonato, J. M. & Lazzara, M. J. ERK1/2 blockade prevents epithelial-mesenchymal transition in lung cancer cells and promotes their sensitivity to EGFR inhibition. Cancer Res 74, 309–319 (2014)., DOI: 10.1158/0008-5472.CAN-12-4721 40 10.1158/0008-5472.CAN-12-4721 false true Reference 31603403 /api/reference/31603403 41. Mitra, T. & Roy, S. S. Co-Activation of TGFβ and Wnt signalling pathways abrogates EMT in ovarian cancer cells. Cell Physiol. Biochem. 41, 1336–1345 (2017)., DOI: 10.1159/000464436 41 10.1159/000464436 false true Reference 31603404 /api/reference/31603404 42. Li, S. et al. The deubiquitinating enzyme USP48 stabilizes TRAF2 and reduces E-cadherin-mediated adherens junctions. Faseb J. 32, 230–242 (2018)., DOI: 10.1096/fj.201700415RR 42 10.1096/fj.201700415RR false true Reference 31603405 /api/reference/31603405 43. Lee, S. et al. Inhibition of PI3K/Akt signaling suppresses epithelial-to-mesenchymal transition in hepatocellular carcinoma through the Snail/GSK-3/beta-catenin pathway. Clin. Mol. Hepatol. 26, 529–539 (2020)., DOI: 10.3350/cmh.2019.0056n 43 10.3350/cmh.2019.0056n false true Reference 31603406 /api/reference/31603406 44. Li, J. et al. Glycogen synthase kinase 3beta induces apoptosis in cancer cells through increase of survivin nuclear localization. Cancer Lett. 272, 91–101 (2008)., DOI: 10.1016/j.canlet.2008.06.032 44 10.1016/j.canlet.2008.06.032 false true Reference 31603407 /api/reference/31603407 45. Zhang, J., Tian, X. J. & Xing, J. Signal transduction pathways of EMT induced by TGF-β, SHH, and WNT and their crosstalks. J Clin Med. 5, 41 (2016)., DOI: 10.3390/jcm5040041 45 10.3390/jcm5040041 false true Reference 31603408 /api/reference/31603408 46. Niewiadomski, P. et al. Gli proteins: regulation in development and cancer. Cells 8, 147 (2019)., DOI: 10.3390/cells8020147 46 10.3390/cells8020147 false true Reference 31603409 /api/reference/31603409 47. Szczepny, A. et al. Overlapping binding sites for importin β1 and suppressor of fused (SuFu) on glioma-associated oncogene homologue 1 (Gli1) regulate its nuclear localization. Biochem J. 461, 469–476 (2014)., DOI: 10.1042/BJ20130709 47 10.1042/BJ20130709 false true Reference 31603410 /api/reference/31603410 48. Behan, F. M. et al. Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens. Nature 568, 511–516 (2019)., DOI: 10.1038/s41586-019-1103-9 48 10.1038/s41586-019-1103-9 false true Reference 31603411 /api/reference/31603411 49. Javelaud, D. et al. TGF-β/SMAD/GLI2 signaling axis in cancer progression and metastasis. Cancer Res 71, 5606–5610 (2011)., DOI: 10.1158/0008-5472.CAN-11-1194 49 10.1158/0008-5472.CAN-11-1194 false true Reference 31603412 /api/reference/31603412 50. Javelaud, D., Pierrat, M. J. & Mauviel, A. Crosstalk between TGF-β and hedgehog signaling in cancer. FEBS Lett. 586, 2016–2025 (2012)., DOI: 10.1016/j.febslet.2012.05.011 50 10.1016/j.febslet.2012.05.011 false true Reference 31603413 /api/reference/31603413 51. Lindsey, S. & Langhans, S. A. Crosstalk of oncogenic signaling pathways during epithelial-mesenchymal transition. Front Oncol. 4, 358 (2014)., DOI: 10.3389/fonc.2014.00358 51 10.3389/fonc.2014.00358 false true Reference 31603414 /api/reference/31603414 52. Klüppel, M. & Wrana, J. L. Turning it up a Notch: cross-talk between TGF beta and Notch signaling. Bioessays 27, 115–118 (2005)., DOI: 10.1002/bies.20187 52 10.1002/bies.20187 false true Reference 31603415 /api/reference/31603415 53. Gut, G., Herrmann, M. D. & Pelkmans, L. Multiplexed protein maps link subcellular organization to cellular states. Science 361, eaar7042 (2018)., DOI: 10.1126/science.aar7042 53 10.1126/science.aar7042 false true Reference 31603416 /api/reference/31603416 54. Tian, X.-J., Zhang, H. & Xing, J. Coupled reversible and irreversible bistable switches underlying TGFβ-induced epithelial to mesenchymal transition. Biophysical J. 105, 1079–1089 (2013)., DOI: 10.1016/j.bpj.2013.07.011 54 10.1016/j.bpj.2013.07.011 false true Reference 31603417 /api/reference/31603417 55. Font-Clos, F., Zapperi, S. & La Porta, C. A. M. Topography of epithelial-mesenchymal plasticity. Proc. Natl Acad. Sci. USA 115, 5902–5907 (2018)., DOI: 10.1073/pnas.1722609115 55 10.1073/pnas.1722609115 false true Reference 31603418 /api/reference/31603418 56. Palle, K., Mani, C., Tripathi, K. & Athar, M. Aberrant GLI1 activation in DNA damage response, carcinogenesis and chemoresistance. Cancers (Basel) 7, 2330–2351 (2015)., DOI: 10.3390/cancers7040894 56 10.3390/cancers7040894 false true Reference 31603419 /api/reference/31603419 57. Rimkus, T. K., Carpenter, R. L., Qasem, S., Chan, M. & Lo, H. W. Targeting the sonic hedgehog signaling pathway: review of smoothened and GLI inhibitors. Cancers (Basel) 8, 22 (2016)., DOI: 10.3390/cancers8020022 57 10.3390/cancers8020022 false true Reference 31603420 /api/reference/31603420 58. UniProt Consortium. UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res. 49, D480–D489 (2020)., DOI: 10.1093/nar/gkaa1100 58 10.1093/nar/gkaa1100 false true /api/publication/32876020 Mendik Péter et al. Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model. (2022) NPJ SYSTEMS BIOLOGY AND APPLICATIONS 2056-7189 8 1<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10070190"><a href="/gui2/?type=authors&mode=browse&sel=10070190" target="_blank">Mendik Péter (<span class="authorship-author-name">Mendik Péter</span> <span class="authorAux-mtmt"> bioinformatika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Biokémiai és Molekuláris Biológiai Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10088319"><a href="/gui2/?type=authors&mode=browse&sel=10088319" target="_blank">Kerestély Márk^* (<span class="authorship-author-name">Kerestély Márk</span> <span class="authorAux-mtmt"> Bioinformatika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Kamp Sebestyén </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10075988"><a href="/gui2/?type=authors&mode=browse&sel=10075988" target="_blank">Deritei Dávid (<span class="authorship-author-name">Deritei Dávid</span> <span class="authorAux-mtmt"> molekuláris biológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Biokémiai és Molekuláris Biológiai Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Kunšič Nina </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10049810"><a href="/gui2/?type=authors&mode=browse&sel=10049810" target="_blank">Vassy Zsolt (<span class="authorship-author-name">Vassy Zsolt</span> <span class="authorAux-mtmt"> informatika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Biokémiai és Molekuláris Biológiai Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="1035707"><a href="/gui2/?type=authors&mode=browse&sel=1035707" target="_blank">Csermely Péter (<span class="authorship-author-name">Csermely Péter</span> <span class="authorAux-mtmt"> Biokémia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Biokémiai és Molekuláris Biológiai Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10050101"><a href="/gui2/?type=authors&mode=browse&sel=10050101" target="_blank">Veres Daniel V. ✉ (<span class="authorship-author-name">Veres Dániel</span> <span class="authorAux-mtmt"> Molekuláris orvostudományok</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Biokémiai és Molekuláris Biológiai Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;32876020" target="_blank">Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model</a></div> <div> <span class="journal-title">NPJ SYSTEMS BIOLOGY AND APPLICATIONS</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2056-7189">2056-7189</a>)</span>: <span class="journal-volume">8</span> <span class="journal-issue">1</span> <span class="page"> Paper 19. 11 p. </span> <span class="year">(2022)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1038/s41540-022-00228-7" target="_blank" href="https://doi.org/10.1038/s41540-022-00228-7"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000809181800001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000809181800001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85131706718" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85131706718"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="35680961" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=35680961&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Applied Mathematics&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Modeling and Simulation&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Biochemistry, Genetics and Molecular Biology (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Computer Science Applications&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Drug Discovery&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 6</span> | Független: 3 | Függő: 3 | Nem jelölt: 0 | WoS jelölt: 5 | Scopus jelölt:&nbsp;6 | WoS/Scopus jelölt:&nbsp;6 | DOI jelölt:&nbsp;6 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;32876020&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 9 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 32876020</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> (Open access funding provided by Semmelweis University) </div> <div class="lastModified">Utolsó módosítás: 2023.05.15. 01:15 Kerestély Márk (Bioinformatika) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: These authors contributed equally: Péter Mendik, Márk Kerestély Funding details: Semmelweis Egyetem, 2020-4.1.1, TKP2020, TKP2021-EGA-24 Funding details: Emberi Eroforrások Minisztériuma, EMMI Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, K131458 Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Al...</pre> </div></div>