Signal peptide and Protein sequencing are the main areas of his Peptide sequence studies. Much of his study explores Signal peptide relationship to Peptide sequence. He connects Biochemistry with Protein sequencing in his study. In his works, Stavros J. Hamodrakas undertakes multidisciplinary study on Computational biology and Bioinformatics. In his research, he undertakes multidisciplinary study on Bioinformatics and Computational biology. He combines Gene and Function (biology) in his research. His study brings together the fields of Genetics and Function (biology). His Sequence (biology) research extends to the thematically linked field of Genetics. In most of his Sequence (biology) studies, his work intersects topics such as Biochemistry.
Stavros J. Hamodrakas integrates Biochemistry with Cell biology in his research. He performs integrative study on Gene and Peptide sequence. Stavros J. Hamodrakas merges Peptide sequence with Gene in his study. Stavros J. Hamodrakas conducts interdisciplinary study in the fields of Computational biology and Bioinformatics through his research. His multidisciplinary approach integrates Bioinformatics and Computational biology in his work. In his articles, Stavros J. Hamodrakas combines various disciplines, including Genetics and Genome. Stavros J. Hamodrakas integrates many fields in his works, including Genome and Genetics. His Biophysics study frequently involves adjacent topics like Fibril. His work on Receptor is being expanded to include thematically relevant topics such as Transmembrane protein.
Stavros J. Hamodrakas connects Biochemistry with Computational biology in his research. In his works, he undertakes multidisciplinary study on Computational biology and Biochemistry. He merges Biophysics with Cell biology in his study. In his research, he undertakes multidisciplinary study on Cell biology and Biophysics. His Amyloid (mycology) research extends to the thematically linked field of Inorganic chemistry. Amyloid (mycology) and Inorganic chemistry are frequently intertwined in his study. He undertakes interdisciplinary study in the fields of Fibril and Peptide through his research. In his research, Stavros J. Hamodrakas performs multidisciplinary study on Peptide and Fibril. In his work, Stavros J. Hamodrakas performs multidisciplinary research in Organic chemistry and Polymer.
His work on Organic chemistry is being expanded to include thematically relevant topics such as Self-assembly and Dimer. His research on Dimer frequently connects to adjacent areas such as Organic chemistry. His Transmembrane domain research incorporates a variety of disciplines, including Transmembrane protein and G protein-coupled receptor. Transmembrane protein and Transmembrane domain are two areas of study in which Stavros J. Hamodrakas engages in interdisciplinary work. His Biophysics study frequently intersects with other fields, such as Fibril. His study in Biophysics extends to Fibril with its themes. In most of his Biochemistry studies, his work intersects topics such as Ligand (biochemistry). He undertakes interdisciplinary study in the fields of Ligand (biochemistry) and Receptor through his research. In his articles, Stavros J. Hamodrakas combines various disciplines, including Receptor and G protein-coupled receptor.
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PRED-TMBB: a web server for predicting the topology of β-barrel outer membrane proteins
Pantelis G. Bagos;Theodore D. Liakopoulos;Ioannis C. Spyropoulos;Stavros J. Hamodrakas.
Nucleic Acids Research (2004)
A consensus method for the prediction of 'aggregation-prone' peptides in globular proteins.
Antonios C. Tsolis;Nikos C. Papandreou;Vassiliki A. Iconomidou;Stavros J. Hamodrakas.
PLOS ONE (2013)
Cytokine gene polymorphisms in periodontal disease: a meta-analysis of 53 studies including 4178 cases and 4590 controls.
Georgios K. Nikolopoulos;Niki L. Dimou;Stavros J. Hamodrakas;Pantelis G. Bagos;Pantelis G. Bagos.
Journal of Clinical Periodontology (2008)
Amyloids protect the silkmoth oocyte and embryo
Vassiliki A. Iconomidou;Gert Vriend;Stavros J. Hamodrakas.
FEBS Letters (2000)
A Hidden Markov Model method, capable of predicting and discriminating β-barrel outer membrane proteins
Pantelis G Bagos;Theodore D Liakopoulos;Ioannis C Spyropoulos;Stavros J Hamodrakas.
BMC Bioinformatics (2004)
A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm
C. Pasquier;V.J. Promponas;G.A. Palaios;J.S. Hamodrakas.
Protein Engineering (1999)
CAST: an iterative algorithm for the complexity analysis of sequence tracts
Vasilis J. Promponas;Anton J. Enright;Sophia Tsoka;David P. Kreil.
TMRPres2D: high quality visual representation of transmembrane protein models
Ioannis C. Spyropoulos;Theodore D. Liakopoulos;Pantelis G. Bagos;Stavros J. Hamodrakas.
Amyloidogenic determinants are usually not buried.
Kimon K Frousios;Vassiliki A Iconomidou;Carolina-Maria Karletidi;Stavros J Hamodrakas.
BMC Structural Biology (2009)
Multifaceted biological insights from a draft genome sequence of the tobacco hornworm moth, Manduca sexta
Michael R. Kanost;Estela L. Arrese;Xiaolong Cao;Yun Ru Chen.
Insect Biochemistry and Molecular Biology (2016)
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