Peer-Reviewed Abstracts and Posters

2019

  • Tamposis IA, Tsirigos KD, Theodoropoulou MC, Kontou PI, Tsaousis G.N., Sarantopoulou D, Litou ZI, Bagos PG. (2019) JUCHMME: A Hidden Markov Model toolbox for biological sequence analysis. 2019 14th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HSCBB19), FORTH/ICE-HT, Patras.
  • Tsaousis GN, Tsoulos, E. Papadopoulou, K. Agiannitopoulos, G. Pepe, N. Diamantopoulos, T. Floros, R. Iosifidou, C. Markopoulos7 K. Papazisis, V. Venizelos, G. Xepapadakis, E. Banu, D.T. Eniu, D. Stanculeanu, A. Ungureanu, S. Tansan, M. Tekinel, S. Yalcin, G. Nasioulas. Multigene panel testing results for hereditary breast cancer in 1325 individuals: implications for gene selection and considerations for guidelines. In: ESMO 2019 Congress: Annals of Oncology (2019) 30 (suppl_5): v25-v54. 10.1093/annonc/mdz239
  • Nastou K.C., Tsaousis, G.N., Hamodrakas S.J., Iconomidou V.A A proteome-wide resource for eukaryotic peripheral membrane proteins. 2019 27st International Conference on Intelligent Systems for Molecular Biology and 18th European Conference on Computational Biology, Basel, Switzerland.
  • Agiannitopoulos K, Papadopoulou E, Tsaousis GN,, Pepe G, Kambouris S, Makatsoris Th, Xanthakis I, Papazisis K, Diamantopoulos N, Papatsimpas G, Souglakos I, Kendeposidis N, Lypas G, Vasilaki Antonatou M, Nasioulas G. Hereditary Breast Cancer: Multigene analysis testing in 871 cases . 2019 3rd Symposium in Clinical Genetics & Genomics, , Athens
  • Papadopoulou E., Tsaousis GN, Agiannitopoulos K., Pepe G., Kambouris S., Makatsoris Th., Xanthakis I., Papazisis K., Diamantopoulos N., Papatsimpas G., Souglakos I., Kendeposidis N., Lypas G., Vasilaki Antonatou M., Nasioulas G. Multigene Testing for Hereditary Breast Cancer: More genes more information in 871 cases. (2019). 25th Hellenic conference of Clinical Oncology, Forum of Clinical Oncology, 10(1), 1-62. doi: https://doi.org/10.2478/fco-2019-0001

2018

  • Papadopoulou E., Tsaousis, G., Bourkoula E., Metaxa-Mariatou V., Efstathiadou C., Nasioulas G.Calculation of Tumor Mutational Load/Burden (TML/TMB) using NGS and a gene panel. 2018, 4th Hellenic Congress of Oncology, Thessaloniki.
  • Tsaousis G., Fotiou G., Papadopoulou E., Nasioulas G. Tumor Mutational Burden (TMB) and Neoantigen Load (NAL) estimation model using targeted Next Generation Sequencing (NGS) gene panels. 2018, 17th European Conference on Computational Biology, Athens, Greece.
  • Nastou K.C., Tsaousis, G.N., Hamodrakas S.J., Iconomidou V.A Design and construction of a relational database for peripheral membrane proteins from eukaryotic reference proteomes. 2018, 17th European Conference on Computational Biology, Athens, Greece.
  • Tsoulos N, Tsaousis GN, Papadopoulou E, Agiannitopoulos K, Pepe G, Kambouri S, Apessos A, 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. Analysis of hereditary cancer syndromes by using a panel of genes: Novel and multiple pathogenic mutations. 2018 41th San Antonio Breast Cancer Symposium (SABCS), San Antonio, Texas, USA. AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P4-03-07

2017

  • Tsaousis, G.N., Apessos A., Agiannitopoulos K., Pepe G., Kampouri S., Nasioulas G. Description of a methodology for the classification and the interpretation of the clinical significance of sequence variants in patients with hereditary cancer. 2017 23rd Hellenic Conference of Clinical Oncology (HESMO2017), Athens.
  • Apessos Α., Agiannitopoulos Κ., Pepe G., Tsaousis, G.N., Kampouri S., Anastasakou A., Vasilaki-Antonatou M., Diamantopoulos N., Lalla E., Xepapadakis G., Papazisis K., Timotheadou E., Efraimidou A., Nasioulas G. Massive Parallel Sequencing of 26 genes for the diagnosis of the genetic predisposition to cancer. 2017 23rd Hellenic Conference of Clinical Oncology (HESMO2017), Athens.
  • Tsoulos N., Papadopoulou E., Metaxa-Mariatou V., Tsaousis, G.N., Efstathiadou C., Tounta G., Skapeti K., Bourkoula J., Zarogoullidis P., Pentheroudakis G.E., Kakolyris G., Boukovinas I., Papakotoulas P., Athanasiadis I., Floros T., Koumarianou A, Barbounis V., Nasioulas G. Molecular profiling of 502 patient cohort with NSCLC using a 27 somatic gene panel.2017, Journal of Clinical Oncology 35:15_suppl, e23193-e23193, ASCO Annual Meeting, Chicago, Illinois, USA.
  • Nastou K.C., Tsaousis, G.N., Hamodrakas S.J., Iconomidou V.A. PerMemDB: a database of peripheral membrane proteins. 2017 12th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HSCBB17), Hellenic Pasteur Institute, Athens.
  • Apessos A., Agiannitopoulos K., Pepe G., Tsaousis, G., Kambouri S., Gerasoudis D., G. Nasioulas NGS analysis of Hereditary Cancer Syndromes: More Answers than Questions. 2017 5th Mediterranean Multidisciplinary Oncology Forum (MMOF) Congress, Athens.
  • Papadopoulou E., Metaxa-Mariatou V., Tsoulos N., Tsirigoti A., Efstathiadou C., Apessos A., Agiannitopoulos K., Pepe G., Bourkoula E., Tsaousis, G., Nasioulas G. Application of Next Generation Sequencing in Liquid Biopsy Analysis. 2017 5th Mediterranean Multidisciplinary Oncology Forum (MMOF) Congress, Athens.
  • Tsoulos N, Apessos A, Agiannitopoulos K, Pepe G, Tsaousis, G., Kambouri S, Eniu DT, Ungureanu A, Banu E, Ciule L, Blidaru A, Chiorean A, Stanculeanu DL, Mateescu D, Nasioulas G. Analysis of hereditary cancer syndromes by use of a panel of genes: More answers than questions. 2017, [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-03-03.

2016

  • Mastrokalou C., Tsiolaki P., Mantes A., Tsaousis, G.N., Papandreou N.C., Hamodrakas S.J., Iconomidou V.A. The hidden secrets of amyloidogenic proteins in X-ray crystal structures 2016 8th Conference of the Hellenic Crystallographic Association (HeCrA) and 11th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HeCrA-HSCBB16), Athens.
  • Nastou K.C., Tsaousis, G.N., Litou Z.I., Hamodrakas S.J. Exploring the evolution of Membrane Binding Domains 2016 8thConference of the Hellenic Crystallographic Association (HeCrA) and 11th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HeCrA-HSCBB16), Athens. Best Poster Award
  • Agiannitopoulos K., Apessos A., Pepe G., Tsaousis G.N., Papadopoulou E., Metaxa-Mariatou V., Nasioulas G. Use of NGS for the analysis of BRCA1 and BRCA2 genes. 2016 10th Conference Hellenic Society of Bioscientists, Biosciences in the 21st century, Athens.
  • Nastou K.C., Tsiolaki P.L., Tsaousis G.N., Hamodrakas S.J., Iconomidou V.A. Computational analysis of human plasma membrane peripheral proteins and their association with amyloidoses. 2016 67th Panhellenic Conference of the Hellenic Society for Biochemistry and Molecular Biology, University of Ioannina, Ioannina.

2015

  • Kontou P., Pavlopoulou A., Dimou N., Theodoropoulou M.C., Tsaousis, G.N., Hamodrakas S.J., Bagos P.G. The human GPCR signal transduction network. 2015, 10th Conference of the Hellenic Society for Computational Biology, Athens.
  • Nastou K.C., Tsaousis, G.N., Papandreou N.C., Hamodrakas S.J. Prediction of Membrane Binding Proteins in Eukaryotic Proteomes. 2015 10th Conference of the Hellenic Society for Computational Biology, Athens.

2014

  • Theodoropoulou M.C., Kostiou K.D., Tsaousis, G.N., Litou Z.I., Bagos P.G., Hamodrakas S.J. Detecting GPCRs and G-proteins in Insect Proteomes. 2014, 9th Conference of the Hellenic Society for Computational Biology, Athens.
  • Tsiolaki P.L., Mantes A.V., Louros N.N., Tsaousis, G.N., Papandreou N.C., Iconomidou V.A., Hamodrakas S.J. A proposed model for fibril formation in immunoglobulin light chain amyloidosis (AL) using information from crystal contacts. 2014, 9th Conference of the Hellenic Society for Computational Biology, Athens.
  • Nastou K.C., Tsaousis, G.N., Hamodrakas S.J. A method for the prediction of membrane proteins binding to lipids in proteomes using profile Hidden Markov Models. 2014, 9th Conference of the Hellenic Society for Computational Biology, Athens.

2013

  • Gypas F., Tsaousis, G.N., Hamodrakas S.J. mpMoRFsDB: A database of molecular recognition features (MoRFs) in membrane proteins. 2013, 21st International Conference on Intelligent Systems for Molecular Biology and 12th European Conference on Computational Biology, Berlin, Germany. F1000Posters
  • Theodoropoulou M.C., Tsaousis, G.N., Litou Z.I., Iconomidou V.A., Bagos P.G., Hamodrakas S.J. GPCRpipe: A pipeline for the detection of G-protein coupled receptors in proteomes. 2013, 21st International Conference on Intelligent Systems for Molecular Biology and 12th European Conference on Computational Biology, Berlin, Germany. F1000Posters
  • Gypas F., Tsaousis, G.N., Hamodrakas S.J. Functional disorder-to-order transition in membrane proteins and the mpMoRFsDB database. 2013, 8th Conference of the Hellenic Society for Computational Biology, Lamia.
  • Nastou K.C., Tsaousis G.N., Kremizas K.E., Litou Z.I., Hamodrakas S.J. Visualization and analysis of the interactions of human plasma membrane proteins: The Human plasma membrane peripherome. 2013, 8th Conference of the Hellenic Society for Computational Biology, Lamia.
  • Mantes A., Tsiolaki P.L., Tsaousis, G.N., Papandreou N.C., Iconomidou V.A., Hamodrakas S.J. Relations of ‘aggregation-prone’ peptides and crystal contacts in crystallographically determined structures of twelve (12) proteins related to amyloidoses. 2013, 8th Conference of the Hellenic Society for Computational Biology, Lamia.

2012

  • Kotta-Loizou I., Tsaousis, G.N.. and Hamodrakas S.J. Analysis of Molecular Recognition Features in Membrane Proteins. 2012, 9th Annual Meeting of the Italian Society of Bioinformatics (BITS), Catania, Italy.
  • Mousxounti Th., Tsaousis, G.N., Hamodrakas S.J. Relations of ‘Aggregation-prone peptides’ and ‘Intristically disordered regions’ in twelve (12) amyloidogenic proteins. 2012, 6th International Conference of The Hellenic Crystallographic Association, Athens.
  • Kotta-Loizou, I., Tsaousis, G.N., Hamodrakas, S.J. Membrane MoRFs and their Relations with "Aggregation?prone" Peptides on the Interaction Surface of their Partners. 2012, 7th Conference of the Hellenic Society for Computational Biology, FORTH, Heraklion, Crete.

2011

  • Theodoropoulou M.C., Tsaousis, G.N., Litou Z.I., Bagos P.G., Hamodrakas S.J. GPCRpipe: A pipeline for the detection of G-protein coupled receptors in proteomes. 2011, 6th Conference of the Hellenic Society for Computational Biology, Patras.
  • Tsaousis, G.N., Bagos P.G., Hamodrakas S.J. Combined prediction of post-translational modifications and topology of transmembrane proteins using Hidden Markov Models. 2011, 6th Conference of the Hellenic Society for Computational Biology, Patras. Best Poster Award

2010

  • Tsaousis, G.N., Tsirigos KD, Andrianou XD, Liakopoulos TD, Bagos PG, Hamodrakas SJ. ExTopoDB: A database of experimentally derived topological models of transmembrane proteins. 2010, 5th Conference of the Hellenic Society for Computational Biology, Alexandroupolis.

2009

  • Tsaousis, G.N., Bagos P.G., Hamodrakas, S.J. A computational approach to the optimal placement of a topology reporter: Implications to large-scale analysis. 2009, 4th Conference of the Hellenic Society for Computational Biology, NHRF, Athens. Best Poster Award

2008

  • Tsaousis, G.N., Tsirigos K.D., Andrianou X.D. Bagos, P.G. and Hamodrakas, S.J. Transmembrane protein topology prediction improves by 30% incorporating experimental information: a literature survey and the ExTopoDB database. 2008, 3rd Conference of the Hellenic Society for Computational Biology, CERTH, Thessaloniki.
  • Tsaousis, G.N., Tsirigos K.D., Andrianou X.D. Bagos, P.G. and Hamodrakas, S.J. A database of experimentally derived topological models of transmembrane proteins. 2008, 33rd FEBS Congress & 11th IUBMB Conference, Athens, Greece.

2007

  • Tsaousis, G.N., Bagos, P.G. and Hamodrakas, S.J.Correlation of the performance of protein structure prediction algorithms with the size of the training set. 2007, Hellenic Bioinformatics & Medical Informatics Meeting, Athens, Greece.