Διδάκτορας ερευνητής

Διδακτορικό Δίπλωμα (Ph.D) στη Βιολογία, Παν/μιο Αθηνών

ΜΔΕ (M.Sc) στη Βιοστατιστική , Παν/μιο Αθηνών

ΠΜΕ (PGCE) στην Εκπαίδευση Ενηλίκων, ΕΑΠ

Σημαντική εμπειρία σε προγραμματισμό στις γλώσσες προγραμματισμού Perl, Java, Basic/Visual Basic.

Προγραμματισμός Διαδικτυακών εφαρμογών μέσω του πρωτοκόλλου CGI (Common Gateway Interface) - Δυναμική (μέσω perl, javascript ) και Στατική κατασκευή ιστοσελίδων HTML.

Επεξεργασία και παρουσίαση μαθημάτων στο διαδίκτυο.

1. Sgourakis NG, Bagos PG , Hamodrakas SJ. Prediction of the coupling specificity of GPCRs to four families of G-proteins using Hidden Markov Models and Artificial Neural Networks. Bioinformatics, 2005, in press.
2. Sgourakis NG, Bagos PG, Papasaikas PK, Hamodrakas SJ. Prediction of GPCRs coupling specificity to G-proteins using refined profile hidden markov models. BMC Bioinformatics, 2005, 6:104.
3. Bagos PG, Liakopoulos TD, Hamodrakas SJ. Evaluation of methods for predicting the topology of β-barrel outer membrane proteins and a consensus prediction method. BMC Bioinformatics, 2005, 6:7. (1 αναφορά)
4. Elefsinioti AL, Bagos PG, Spyropoulos IC, Hamodrakas SJ. A database for G Proteins and their interaction with GPCRs. BMC Bioinformatics, 2004, 5:208. (1 αναφορά)
5. Bagos PG, Liakopoulos TD, Promponas VJ, Hamodrakas SJ. Topology prediction of β-barrel outer membrane proteins. PINSA-B, 2004, in press. (1 αναφορά)
6. Papasaikas PK, Bagos PG, Litou ZI, Promponas VJ, and Hamodrakas SJ. PRED-GPCR: GPCR recognition and family classification server. Nucleic Acids Res, 2004, 32(Web Server Issue):W380-382. (1 αναφορά)
7. Bagos PG, Liakopoulos TD, Spyropoulos IC, Hamodrakas SJ. PRED-TMBB: A web server for predicting the topology of β-barrel outer membrane proteins. Nucleic Acids Res, 2004, 32(Web Server Issue). W400-404. (14 αναφορές)
8. Bagos PG, Liakopoulos TD, Spyropoulos IC, Hamodrakas SJ. A Hidden Markov Model capable of predicting and discriminating β-barrel outer membrane proteins. BMC Bioinformatics, 2004, 5:29. (19 αναφορές)
9. Papasaikas PK, Bagos PG, Litou ZI, Hamodrakas SJ. A novel method for GPCR recognition and family classification, using fingerprints derived from profile Hidden Markov Models. SAR QSAR Environ Res, 2003, 14(5-6): 413-420. (3 αναφορές)
10. Bagos PG, Liakopoulos TD, Hamodrakas SJ. Faster Gradient Descent Training of Hidden Markov Models, Using Individual Learning Rate Adaptation. Proceedings of ICGI 2004 Lecture Notes In Artificial Intelligence, Vol. 3264, pp. 40-52.

Διδακτορική Διατριβή, Παντελής Γ. Μπάγκος, Πρόγνωση δομής και λειτουργίας μεμβρανικών πρωτεϊνών, Πανεπιστήμιο Αθηνών, 2005.

1. Henderson NS, Shu Kin So S, Martin C, Kulkarni R, Thanassi DG. Topology of the outer membrane usher PapC determined by site-directed fluorescence labeling. J Biol Chem. 2004; 279(51):53747-54
2. Choo KH, Tong JC, Zhang L. Recent applications of hidden markov models in computational biology. Genomics Proteomics Bioinformatics. 2004; 2(2):84-96.
3. Moslavac S, Mirus O, Bredemeier R, Soll J, von Haeseler AP, Schleiff E. Conserved pore-forming regions in polypeptide-transporting proteins. FEBS Journal. 2005, 272(6): 1367-78.
4. Moslavac S, Bredemeier R, Mirus O, Granvogl B, Eichacker LA, Schleiff E. Proteomic analysis of the Outer Membrane of Anabaena sp. Strain PCC 7120. Journal of Proteome Research, 2005, 4(4): 1330-8.
5. Mussi MA, Limansky AS, Viale AM Acquisition of resistance to carbapenems in multidrug-resistant clinical strains of Acinetobacter baumannii: Natural Insertional inactivation of a gene encoding a member of a novel family of beta-barrel outer membrane proteins. Antimicrobial agents and chemotherapy, 2005, 49(4): 1432-1440
6. Humphries AD, Streimann IC, Stojanovski D, Johnston AJ, Yano M, Hoogenraad NJ, Ryan MT. Dissection of the mitochondrial import and assembly pathway for human Tom40. J Biol Chem. 2005, 280(12): 11535-11543
7. Letoffe S, Wecker K, Delepierre M, Delepelaire P, Wandersman C. Activities of the Serratia marcescens heme receptor HasR and isolated plug and beta-barrel domains: the beta-barrel forms a heme-specific channel. J Bacteriol. 2005;187(13):4637-45.
8. Bendtsen JD, Binnewies TT, Hallin PF, Ussery DW. Genome update: prediction of membrane proteins in prokaryotic genomes. Microbiology. 2005; 151(Pt 7):2119-21.

1. Sgourakis NG, Bagos PG, Hamodrakas SJ. Prediction of the coupling specificity of GPCRs to four families of G-proteins using Hidden Markov Models and Artificial Neural Networks. Bioinformatics, 2005, in press.
2. Bagos PG, Nikolopoulos G, Ioannidis A. Chlamydia pneumoniae infection and the risk of multiple sclerosis: a meta-analysis. Multiple Sclerosis 2005, in press
3. Sgourakis NG, Bagos PG, Papasaikas PK, Hamodrakas SJ. Prediction of GPCRs coupling specificity to G-proteins using refined profile hidden markov models. BMC Bioinformatics, 2005, 6:104.
4. Bagos PG, Liakopoulos TD, Hamodrakas SJ. Evaluation of methods for predicting the topology of β-barrel outer membrane proteins and a consensus prediction method. BMC Bioinformatics, 2005, 6:7.
5. Elefsinioti AL, Bagos PG, Spyropoulos IC, Hamodrakas SJ. A database for G Proteins and their interaction with GPCRs.  BMC Bioinformatics, 2004, 5:208.
6. Bagos PG, Liakopoulos TD, Promponas VJ, Hamodrakas SJ. Topology prediction of β-barrel outer membrane proteins.  PINSA-B, 2004, in press.
7. Bagos PG, Liakopoulos TD, Hamodrakas SJ. Finding beta-barrel outer membrane proteins with a markov chain model.  WSEAS Transactions on Biology and Biomedicine, 2004, 2(1) 186-189.
8. Spyropoulos IC,  Liakopoulos TD, Bagos PG, and Hamodrakas SJ. TMRPres2D - High quality depictions of transmembrane protein subunits. Bioinformatics, 2004, 20(17) 3258-3260.
9. Papasaikas PK, Bagos PG, Litou ZI, Promponas VJ, and Hamodrakas SJ. PRED-GPCR: GPCR recognition and family classification server. Nucleic Acids Res, 2004, 32(Web Server Issue):W380-382.
10. Bagos PG, Liakopoulos TD, Spyropoulos IC, Hamodrakas SJ. PRED-TMBB: A web server for predicting the topology of β-barrel outer membrane proteins. Nucleic Acids Res, 2004, 32(Web Server Issue). W400-404.
11. Bagos PG, Liakopoulos TD, Spyropoulos IC, Hamodrakas SJ. A Hidden Markov Model capable of predicting and discriminating β-barrel outer membrane proteins. BMC Bioinformatics, 2004, 5:29.
12. Papasaikas PK, Bagos PG, Litou ZI, Hamodrakas SJ. A novel method for GPCR recognition and family classification, using fingerprints derived from profile Hidden Markov Models. SAR QSAR Environ Res, 2003, 14(5-6): 413-420.
13. Tsirpanlis G, Bagos P, Ioannou D, Bleta A, Marinou I, Lagouranis A, Chatzipanagiotou S, Nicolaou C. Serum albumin: a late reacting negative acute phase protein in clinically evident inflammation in dialysis patients. Nephrol Dial Transplant. 2005, 20:658-659
14. Tsirpanlis G, Bagos P, Ioannou D, Bleta A, Marinou I, Lagouranis A, Chatzipanagiotou S, Nicolaou C. The variability and accurate assessment of microinflammation in haemodialysis patients. Nephrol Dial Transplant. 2004, 19(1):150-157.
15. Tsirpanlis G, Bagos P, Ioannou D, Bleta A, Marinou I, Lagouranis A, Chatzipanagiotou S, Nicolaou C. Exploring Inflammation in Hemodialysis patients: Persistent and Superimposed Inflammation - a longitudinal study. Kidney Blood Press Res, 2004, 27:63-70.
16. Tsirpanlis G, Chatzipanagiotou S, Ioannidis A, Ifanti K, Bagos P, Lagouranis A, Poulopoulou C, Nicolaou C. The effect of viable Chlamydia pneumoniae on serum cytokines and adhesion molecules in hemodialysis patients. Kidney Int Suppl. 2003, 84: S72-5.
17. Bagos PG, Liakopoulos TD, Hamodrakas SJ. Efficient Training of Hidden Markov Models for protein sequence analysis. Proceedings of ICCMSE 2004, Lecture Series on Computers and Computational Science, Vol 1, pp. 53-56.
18. Bagos PG, Liakopoulos TD, Hamodrakas SJ. Faster Gradient Descent Training of Hidden Markov Models, Using Individual Learning Rate Adaptation. Proceedings of ICGI 2004 Lecture Notes In Artificial Intelligence, Vol. 3264, pp. 40-52.
19. Bagos PG, Liakopoulos TD, Hamodrakas SJ. Maximum Likelihood and Conditional Maximum Likelihood learning algorithms for Hidden Markov Models with labeled data-Application to transmembrane protein topology prediction. In T.E. Simos (ed). Computational Methods in Sciences and Engineering, Proceedings of the International Conference 2003 (ICCMSE 2003), World Scientific Publishing Co. Pte. Ltd. Singapore: pp. 47-55.