Pantelis G. Bagos

发表

ECCB 2018: The 17th European Conference on Computational Biology

Yves Moreau, Artemis G. Hatzigeorgiou, Christoforos Nikolaou, 2018, Bioinform..

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

Arne Elofsson, Pantelis G. Bagos, Konstantinos D. Tsirigos, 2016, Bioinform..

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Margarita C. Theodoropoulou, 2008, Bioinform..

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Theodore Liakopoulos, 2005, BMC Bioinformatics.

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

Pantelis G. Bagos, Sotirios Bersimis, Athanasios Sachlas, 2017, Stat. Methods Appl..

Using graph theory to analyze biological networks

Reinhard Schneider, Georgios A. Pavlopoulos, Charalampos N. Moschopoulos, 2011, BioData Mining.

Computational Methods for the Prediction of GPCRs Coupling Selectivity

Stavros J. Hamodrakas, Pantelis G. Bagos, Nikolaos G. Sgourakis, 2009 .

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Ioannis C. Spyropoulos, 2004, BMC Bioinformatics.

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

Neil D. Rawlings, Robert D. Finn, Alex Bateman, 2015, Database J. Biol. Databases Curation.

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Theodore D. Liakopoulos, 2006, BMC Bioinformatics.

Bioinformatics Original Paper Prediction of the Coupling Specificity of Gpcrs to Four Families of G-proteins Using Hidden Markov Models and Artificial Neural Networks

Stavros J. Hamodrakas, Pantelis G. Bagos, Nikolaos G. Sgourakis, 2022 .

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Panagiotis K. Papasaikas, 2005, BMC Bioinformatics.

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

Pantelis G. Bagos, Konstantinos D. Tsirigos, Theodore D. Liakopoulos, 2010, Bioinform..

TMRPres2D: high quality visual representation of transmembrane protein models

Stavros J. Hamodrakas, Pantelis G. Bagos, Ioannis C. Spyropoulos, 2004, Bioinform..

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Ioannis C. Spyropoulos, 2004, Nucleic Acids Res..

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Margarita C. Theodoropoulou, 2008 .

Interpreting the Omics ‘era’ Data

Georgios A. Pavlopoulos, Ernesto Iacucci, Pantelis G. Bagos, 2013 .

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Theodore Liakopoulos, 2004, ICGI.

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Konstantinos D. Tsirigos, 2008, J. Bioinform. Comput. Biol..

Statistical Applications in Genetics and Molecular Biology

Pantelis G. Bagos, P. Bagos, 2008 .

NAP: The Network Analysis Profiler, a web tool for easier topological analysis and comparison of medium-scale biological networks

Georgios A. Pavlopoulos, Pantelis G. Bagos, Theodosios Theodosiou, 2017, BMC Research Notes.

PRED-GPCR: GPCR recognition and family classification server

Vasilis J. Promponas, Stavros J. Hamodrakas, Pantelis G. Bagos, 2004, Nucleic Acids Res..

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

Ioannis Z. Emiris, Pantelis G. Bagos, Ioannis K. Valavanis, 2006, Comput. Biol. Chem..

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Zoi I. Litou, 2006, Genom. Proteom. Bioinform..

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Konstantinos D. Tsirigos, 2010, Nucleic Acids Res..

METAGEN: Stata module to perform meta-analysis of genetic-association studies

Pantelis G. Bagos, 2008 .

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Konstantinos D. Tsirigos, 2012, SETN.

N-terminal sequence-based prediction of subcellular location

Stavros J. Hamodrakas, Pantelis G. Bagos, Zoi I. Litou, 2005, BMC Bioinformatics.

GWAR: robust analysis and meta‐analysis of genome‐wide association studies

Arne Elofsson, Pantelis G. Bagos, Konstantinos D. Tsirigos, 2017, Bioinform..

Extending hidden Markov models to allow conditioning on previous observations

Ioannis A Tamposis, Pantelis G. Bagos, Konstantinos D. Tsirigos, 2018, J. Bioinform. Comput. Biol..

Maximum likelihood and conditional maximum likelihood learning algorithms for hidden Markov models with labeled data: application to transmembrane protein topology prediction

Stavros J. Hamodrakas, Pantelis G. Bagos, Th. D. Liakopoulos, 2003 .

Efficient Training of Hidden Markov Models for Protein Sequence Analysis

Stavros J. Hamodrakas, Pantelis G. Bagos, Th. D. Liakopoulos, 2019 .

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Georgios N. Tsaousis, 2009, Genom. Proteom. Bioinform..

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

Stavros J. Hamodrakas, Pantelis G. Bagos, Konstantinos D. Tsirigos, 2010, Bioinform..

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

Reinhard Schneider, Georgios A. Pavlopoulos, Stavros J. Hamodrakas, 2010, Database J. Biol. Databases Curation.

METATREND: Stata module to implement regression methods for detecting trends in cumulative meta-analysis

Pantelis G. Bagos, 2009 .

VICTOR: A visual analytics web application for comparing cluster sets

Georgios A. Pavlopoulos, Pantelis G. Bagos, Fotis A. Baltoumas, 2021, Comput. Biol. Medicine.

GPCRpipe: a pipeline for the detection of G-protein coupled receptors in proteomes

Stavros J. Hamodrakas, Pantelis G. Bagos, Zoi I. Litou, 2013 .

Creating a specialist protein resource network

Neil D. Rawlings, Alex Bateman, Bernard Henrissat, 2015 .

Topology prediction of β-barrel outer membrane proteins

Vasilis J. Promponas, Stavros J. Hamodrakas, Pantelis G. Bagos, 2005 .

Multivariate meta-analysis of the association of G-protein beta 3 gene (GNB3) haplotypes with cardiovascular phenotypes

Takeo Kato, Pantelis G. Bagos, Hideaki Nakagawa, 2014, Molecular Biology Reports.

Data and programs in support of network analysis of genes and their association with diseases

Georgios A. Pavlopoulos, Athanasia Pavlopoulou, Pantelis G. Bagos, 2016, Data in brief.

A novel method for GPCR recognition and family classification, using fingerprints derived from profile Hidden Markov Models

Stavros J. Hamodrakas, Pantelis G. Bagos, Zoi I. Litou, 2003 .