Pantelis G. Bagos

According to our database, Pantelis G. Bagos authored at least 36 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Flame (v2.0): advanced integration and interpretation of functional enrichment results from multiple sources.

Evangelos Karatzas, Fotis A. Baltoumas, Eleni Aplakidou, Panagiota I. Kontou, Panos Stathopoulos, Leonidas Stefanis, Pantelis G. Bagos, Georgios A. Pavlopoulos

Bioinform., August, 2023

2021

The human GPCR signal transduction network.

Panagiota I. Kontou, Athanasia Pavlopoulou, Niki L. Dimou, Margarita C. Theodoropoulou, Georgia Braliou, Georgios N. Tsaousis, Georgios A. Pavlopoulos, Stavros J. Hamodrakas, Pantelis G. Bagos

Netw. Model. Anal. Health Informatics Bioinform., 2021

OMPdb: A Global Hub of Beta-Barrel Outer Membrane Proteins.

Ahmed F. Roumia, Konstantinos D. Tsirigos, Margarita C. Theodoropoulou, Ioannis A. Tamposis, Stavros J. Hamodrakas, Pantelis G. Bagos

Frontiers Bioinform., 2021

VICTOR: A visual analytics web application for comparing cluster sets.

Evangelos Karatzas, Maria Gkonta, Joana Hotova, Fotis A. Baltoumas, Panagiota I. Kontou, Christopher J. Bobotsis, Pantelis G. Bagos, Georgios A. Pavlopoulos

Comput. Biol. Medicine, 2021

2019

Ten simple rules for carrying out and writing meta-analyses.

Diego A. Forero, Sandra Lopez-Leon, Yeimy González-Giraldo, Pantelis G. Bagos

PLoS Comput. Biol., 2019

JUCHMME: a Java Utility for Class Hidden Markov Models and Extensions for biological sequence analysis.

Ioannis A. Tamposis, Konstantinos D. Tsirigos, Margarita C. Theodoropoulou, Panagiota I. Kontou, Georgios N. Tsaousis, Dimitra Sarantopoulou, Zoi I. Litou, Pantelis G. Bagos

Bioinform., 2019

Semi-supervised learning of Hidden Markov Models for biological sequence analysis.

Ioannis A. Tamposis, Konstantinos D. Tsirigos, Margarita C. Theodoropoulou, Panagiota I. Kontou, Pantelis G. Bagos

Bioinform., 2019

2018

Extending hidden Markov models to allow conditioning on previous observations.

Ioannis A. Tamposis, Margarita C. Theodoropoulou, Konstantinos D. Tsirigos, Pantelis G. Bagos

J. Bioinform. Comput. Biol., 2018

ECCB 2018: The 17th European Conference on Computational Biology.

Artemis G. Hatzigeorgiou, Pantelis G. Bagos, Panayiotis V. Benos, Christoforos Nikolaou, Yves Moreau, Ioannis Kavakiotis

Bioinform., 2018

2017

Discriminating membrane proteins using the joint distribution of length sums of success and failure runs.

Sotirios Bersimis, Athanasios Sachlas, Pantelis G. Bagos

Stat. Methods Appl., 2017

GWAR: robust analysis and meta-analysis of genome-wide association studies.

Niki L. Dimou, Konstantinos D. Tsirigos, Arne Elofsson, Pantelis G. Bagos

Bioinform., 2017

2016

PRED-TMBB2: improved topology prediction and detection of beta-barrel outer membrane proteins.

Konstantinos D. Tsirigos, Arne Elofsson, Pantelis G. Bagos

Bioinform., 2016

2015

Creating a specialist protein resource network: a meeting report for the protein bioinformatics and community resources retreat.

Patricia C. Babbitt, Pantelis G. Bagos, Amos Bairoch, Alex Bateman, Arnaud Chatonnet, Mark Jinan Chen, David J. Craik, Robert D. Finn, David E. Gloriam, Daniel H. Haft, Bernard Henrissat, Gemma L. Holliday, Vignir Ísberg, Quentin Kaas, David Landsman, Nicolas Lenfant, Gerard Manning, Nozomi Nagano, Narayanaswamy Srinivasan, Claire O'Donovan, Kim D. Pruitt, Ramanathan Sowdhamini, Neil D. Rawlings, Milton H. Saier Jr., Joanna L. Sharman, Michael Spedding, Konstantinos D. Tsirigos, Åke Västermark, Gerrit Vriend

Database J. Biol. Databases Curation, 2015

2012

CW-PRED: A HMM-Based Method for the Classification of Cell Wall-Anchored Proteins of Gram-Positive Bacteria.

Danai K. Fimereli, Konstantinos D. Tsirigos, Zoi I. Litou, Theodore D. Liakopoulos, Pantelis G. Bagos, Stavros J. Hamodrakas

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

2011

OMPdb: a database of β-barrel outer membrane proteins from Gram-negative bacteria.

Konstantinos D. Tsirigos, Pantelis G. Bagos, Stavros J. Hamodrakas

Nucleic Acids Res., 2011

Using graph theory to analyze biological networks.

Georgios A. Pavlopoulos, Maria Secrier, Charalampos N. Moschopoulos, Theodoros G. Soldatos, Sophia Kossida, Jan Aerts, Reinhard Schneider, Pantelis G. Bagos

BioData Min., 2011

2010

ExTopoDB: a database of experimentally derived topological models of transmembrane proteins.

Georgios N. Tsaousis, Konstantinos D. Tsirigos, Xanthi D. Andrianou, Theodore D. Liakopoulos, Pantelis G. Bagos, Stavros J. Hamodrakas

Bioinform., 2010

Combined prediction of Tat and Sec signal peptides with hidden Markov models.

Pantelis G. Bagos, Elisanthi P. Nikolaou, Theodore D. Liakopoulos, Konstantinos D. Tsirigos

Bioinform., 2010

GPCRs, G-proteins, effectors and their interactions: human-gpDB, a database employing visualization tools and data integration techniques.

Venkata P. Satagopam, Margarita C. Theodoropoulou, Christos K. Stampolakis, Georgios A. Pavlopoulos, Nikolaos Papandreou, Pantelis G. Bagos, Reinhard Schneider, Stavros J. Hamodrakas

Database J. Biol. Databases Curation, 2010

2009

How Many 3D Structures Do We Need to Train a Predictor?

Pantelis G. Bagos, Georgios N. Tsaousis, Stavros J. Hamodrakas

Genom. Proteom. Bioinform., 2009

2008

Prediction of Cell Wall Sorting Signals in Gram-Positive bacteria with a Hidden Markov Model: Application to Complete genomes.

Zoi I. Litou, Pantelis G. Bagos, Konstantinos D. Tsirigos, Theodore D. Liakopoulos, Stavros J. Hamodrakas

J. Bioinform. Comput. Biol., 2008

gpDB: a database of GPCRs, G-proteins, effectors and their interactions.

Margarita C. Theodoropoulou, Pantelis G. Bagos, Ioannis C. Spyropoulos, Stavros J. Hamodrakas

Bioinform., 2008

2006

PredSL: A Tool for the N-terminal Sequence-based Prediction of Protein Subcellular Localization.

Evangelia Petsalaki, Pantelis G. Bagos, Zoi I. Litou, Stavros J. Hamodrakas

Genom. Proteom. Bioinform., 2006

beta-Barrel transmembrane proteins: Geometric modelling, detection of transmembrane region, and structural properties.

Ioannis K. Valavanis, Pantelis G. Bagos, Ioannis Z. Emiris

Comput. Biol. Chem., 2006

Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins.

Pantelis G. Bagos, Theodore D. Liakopoulos, Stavros J. Hamodrakas

BMC Bioinform., 2006

2005

Πρόγνωση δομής και λειτουργίας μεμβρανικών πρωτεϊνών

Pantelis G. Bagos

PhD thesis, 2005

A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models.

Nikolaos G. Sgourakis, Pantelis G. Bagos, Panagiotis K. Papasaikas, Stavros J. Hamodrakas

BMC Bioinform., 2005

N-terminal sequence-based prediction of subcellular location.

Evangelia Petsalakis, Pantelis G. Bagos, Zoi I. Litou, Stavros J. Hamodrakas

BMC Bioinform., 2005

Evaluation of methods for predicting the topology of beta-barrel outer membrane proteins and a consensus prediction method.

Pantelis G. Bagos, Theodore Liakopoulos, Stavros J. Hamodrakas

BMC Bioinform., 2005

Prediction of the coupling specificity of GPCRs to four families of G-proteins using hidden Markov models and artificial neural networks.

Nikolaos G. Sgourakis, Pantelis G. Bagos, Stavros J. Hamodrakas

Bioinform., 2005

2004

PRED-GPCR: GPCR recognition and family classification server.

Panagiotis K. Papasaikas, Pantelis G. Bagos, Zoi I. Litou, Vasilis J. Promponas, Stavros J. Hamodrakas

Nucleic Acids Res., 2004

PRED-TMBB: a web server for predicting the topology of ?barrel outer membrane proteins.

Pantelis G. Bagos, Theodore Liakopoulos, Ioannis C. Spyropoulos, Stavros J. Hamodrakas

Nucleic Acids Res., 2004

A database for G proteins and their interaction with GPCRs.

Antigoni L. Elefsinioti, Pantelis G. Bagos, Ioannis C. Spyropoulos, Stavros J. Hamodrakas

BMC Bioinform., 2004

A Hidden Markov Model method, capable of predicting and discriminating beta-barrel outer membrane proteins.

Pantelis G. Bagos, Theodore Liakopoulos, Ioannis C. Spyropoulos, Stavros J. Hamodrakas

BMC Bioinform., 2004

TMRPres2D: high quality visual representation of transmembrane protein models.

Ioannis C. Spyropoulos, Theodore Liakopoulos, Pantelis G. Bagos, Stavros J. Hamodrakas

Bioinform., 2004

Faster Gradient Descent Training of Hidden Markov Models, Using Individual Learning Rate Adaptation.

Pantelis G. Bagos, Theodore Liakopoulos, Stavros J. Hamodrakas

Proceedings of the Grammatical Inference: Algorithms and Applications, 2004