In Preparation / Submitted

  1. Theodoropoulou M.C., Tsaousis G.N.., Litou Z.I., Bagos P.G., Hamodrakas S.J. (2020) GPCRpipe: A pipeline for the detection and annotation of G-protein coupled receptors in proteomes. [In Preparation]
  2. Kontou P.I., Pavlopoulou A., Dimou N.L., Theodoropoulou M.C., Braliou G., Tsaousis G.N., Pavlopoulos G.A., Hamodrakas S.J., Bagos P.G. (2020) The human GPCR signal transduction network. Computers in Biology and Medicine [submitted]
  3. Ozmen V., Çağlayan A.O., Ordu C., Erdoğan Z., Aktepe F., Özmen T., İlgün A.S., Öztürk A., Soybir G., Alco G., Pilancı K.N., Elbüken F., Agacayak F., Tapan T.K., Tsaousis G.N., Papadopoulou E., Agiannitopoulos K., Pepe G., Kampouri S., Nasioulas G., Soran A., (2020) Hereditary cancer genes in breast cancer (BC) patients in Turkey: Importance of consanguineous marriage (CM) and family history (FH). Breast Cancer Research and Treatment [submitted]

Published / In press

  1. Agiannitopoulos K., Papadopoulou E., Tsaousis G.N., Pepe G, Kambouri S, Lypas G. Nasioulas G. (2020) Report of a germline double heterozygote in MSH2 and PALB2 . Molecular Genetics & Genomic Medicine [In Press]
  2. Agiannitopoulos K., Samara P., Papadopoulou M., Efthymiadoy A., Papadopoulou E., Tsaousis G.N.,Mertzanos M., Babalis D., Lamnissou K. miRNA polymorphisms and risk of premature coronary artery disease. (2020) Hellenic Journal of Cardiology [In Press] [PubMed] [Google Scholar]
  3. Nastou K.C., Tsaousis G.N., Iconomidou V.A. (2020) PerMemDB: a database for eukaryotic peripheral membrane proteins. BBA - Biomembranes 1862:183076 doi: 10.1016/j.bbamem.2019.183076 [PubMed] [Google Scholar] [bioRxiv]
  4. Gourgouli K., Gourgouli I., Tsaousis G.N., Spai S., Niskopoulou M., Efthimiopoulos S., Lamnissou K. (2020) Investigation of genetic base in the treatment of age-related macular degeneration. International Ophthalmology [PubMed] [Google Scholar]
  5. Papadopoulou E., Tsoulos N., Tsantikidi K., Mariatou-Metaxa V., Stamou P.E., Kladi-Skandali A., Kapeni E., Tsaousis G., Pentheroudakis G., Petrakis D., Lampropoulou D.I., Aravantinos G., Varthalitis I., Kesisis G., Boukovinas I., Papakotoulas P., KatirClintzoglou N., Athanasiadis E., Stavridi F., Christodoulou C., Koumarianou A., Eralp Y., Nasioulas G. Clinical Feasibility of NGS liquid biopsy analysis in NSCLC patients. PLoS One. 2019 Dec 20;14(12):e0226853. doi: 10.1371/journal.pone.0226853. [In Press] [PubMed] [Google Scholar]
  6. Agiannitopoulos K., Papadopoulou E., Tsaousis G.N., Pepe G, Kambouri S, Kocdor M.A., Nasioulas G. (2019) Characterization of the c.793-1G>A splicing variant in CHEK2 gene as pathogenic: a case report BMC Medical Genetics 20, Article number: 131 [PubMed] [Google Scholar]
  7. Tsaousis G.N., Papadopoulou E, Apessos A, Agiannitopoulos K, Pepe G, Kambouri S, Diamantopoulos N, Floros T, Iosifidou R, Katopodi O, Koumarianou A, Markopoulos C, Papazisis K, Venizelos V, Xanthakis I, Xepapadakis G, Banu E, Eniu DT, Negru S, Stanculeanu DL, Ungureanu A, Ozmen V, Tansan S, Tekinel M, Yalcin S, Nasioulas G. (2019) Analysis of hereditary cancer syndromes by using a panel of genes: Novel and multiple pathogenic mutations. BMC Cancer. 2019 Jun 3;19(1):535. [PubMed] [Google Scholar]
  8. Tamposis IA, Tsirigos KD, Theodoropoulou MC, Kontou PI, Tsaousis G.N., Sarantopoulou D, Litou ZI, Bagos PG. (2019) JUCHMME: A Java Utility for Class Hidden Markov Models and Extensions for biological sequence analysis.Bioinformatics. Jun 28. pii: btz533.[PubMed] [Google Scholar]
  9. Apessos Α., Agiannitopoulos Κ., Pepe G., Tsaousis G.N., Papadopoulou E., Mariatou-Metaxa V., Tsirigoti A., Efstathiadou C., Markopoulos C., Xepapadakis G., Venizelos V., Tsiftsoglou A., Natsiopoulos I., Nasioulas G. (2018) Comprehensive BRCA mutation analysis in the Greek population. Experience from a single clinical diagnostic center. Cancer Genet. 220 1–12 doi:10.1016/j.cancergen.2017.10.002 [PubMed] [Google Scholar]
  10. Tsoulos N., Papadopoulou E., Metaxa-Mariatou V., Tsaousis G.N., Efstathiadou C., Tounta G., Scapeti A., Bourkoula E., Zarogoulidis P., Pentheroudakis G., Kakolyris S., Boukovinas I., Papakotoulas P., Athanasiadis E., Floros T., Koumarianou A., Barbounis V., Dinischiotu A., Nasioulas G. (2017) Tumor molecular profiling of NSCLC patients using Next Generation Sequencing. Oncol Rep. 38(6):3419-3429. doi: 10.3892/or.2017.6051 [PubMed] [Google Scholar]
  11. Tsaousis G.N, Hamodrakas S.J., Bagos P.G. (2017) Predicting beta barrel transmembrane proteins using HMMs.In: Westhead, D.R., Vijayabaskar, M.S. (Eds.) Hidden Markov Models: Methods and Protocols, Methods in Molecular Biology [In press] [PubMed] [Google Scholar] [Book]
  12. Tsaousis G.N., Theodoropoulou M.C., Hamodrakas S.J., Bagos P.G. (2017) Predicting alpha helical transmembrane proteins using HMMs. In: Westhead, D.R., Vijayabaskar, M.S. (Eds.) Hidden Markov Models: Methods and Protocols, Methods in Molecular Biology [In press] [PubMed] [Google Scholar] [Book]
  13. Papadopoulou E., Metaxa-Mariatou V., Tsaousis G.N., Tsoulos N., Tsirigoti A., Efstathiadou C., Apessos A., Agiannitopoulos K., Pepe G., Bourkoula E., Nasioulas G. (2016) Molecular predictive markers in tumors of the gastrointestinal tract. World J Gastrointest Oncol. 8(11): 772-785 doi: 10.4251/wjgo.v8.i11.772. [PubMed] [Google Scholar]
  14. Nastou K.C., Tsaousis G.N., Papandreou N.C., Hamodrakas S.J. (2016) MBPpred: Proteome-wide detection of membrane lipid-binding proteins using profile Hidden Markov Models. Biochim Biophys Acta. 1864(7): 747-754 doi: 10.1016/j.bbapap.2016.03.015 [bioRxiv] [PubMed] [Google Scholar]
  15. Ntostis P., Agiannitopoulos K., TTsaousis G.N., Pantos K., Lamnissou K., (2015) Evidence for association of the rs605059 polymorphism of HSD17B1 gene with recurrent spontaneous abortions. J Matern Fetal Neonatal Med. 2015;28(18):2250-3 doi: 10.3109/14767058.2014.984289. [PubMed] [Google Scholar]
  16. Nastou K.C., Tsaousis G.N., Kremizas K.E., Litou Z.I., Hamodrakas S.J. (2014) The human plasma membrane peripherome: visualization and analysis. BioMed Research International, vol. 2014, Article ID 397145, 12 pages, doi:10.1155/2014/397145. [arXiv] [PubMed] [Google Scholar]
  17. Tsaousis G.N., Bagos, P.G. Hamodrakas, S.J. (2014) HMMpTM: Improving transmembrane protein topology prediction using phosphorylation and glycosylation site prediction. Biochim Biophys Acta. 1844(2): 316-322. [PubMed] [Google Scholar]
  18. Gypas, F., Tsaousis G.N., Hamodrakas, S.J. (2013) mpMoRFsDB: A database of molecular recognition features (MoRFs) in membrane proteins. Bioinformatics 29(19):2517-8 doi:10.1093/bioinformatics/btt427. [PubMed] [Google Scholar]
  19. Kotta-Loizou, I., Tsaousis G.N.,, Hamodrakas, S.J. (2013) Analysis of Molecular Recognition Features (MoRFs) in membrane proteins. Biochim Biophys Acta., 15;1834(4): 798-807. [PubMed] [Google Scholar]
  20. Tsaousis G.N., Tsirigos K.D., Andrianou, X.D., Liakopoulos, T.D., Bagos P.G., Hamodrakas S.J. (2010) ExTopoDB: A database of experimentally derived topological models of transmembrane proteins. Bioinformatics 26(19): 2490–2492. [PubMed] [Google Scholar]
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