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Dive into the research topics where Christos A. Ouzounis is active.

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Featured researches published by Christos A. Ouzounis.


Nature | 1999

Protein interaction maps for complete genomes based on gene fusion events

Anton J. Enright; Ioannis Iliopoulos; Nikos C. Kyrpides; Christos A. Ouzounis

A large-scale effort to measure, detect and analyse protein–protein interactions using experimental methods is under way. These include biochemistry such as co-immunoprecipitation or crosslinking, molecular biology such as the two-hybrid system or phage display, and genetics such as unlinked noncomplementing mutant detection. Using the two-hybrid system, an international effort to analyse the complete yeast genome is in progress. Evidently, all these approaches are tedious, labour intensive and inaccurate. From a computational perspective, the question is how can we predict that two proteins interact from structure or sequence alone. Here we present a method that identifies gene-fusion events in complete genomes, solely based on sequence comparison. Because there must be selective pressure for certain genes to be fused over the course of evolution, we are able to predict functional associations of proteins. We show that 215 genes or proteins in the complete genomes of Escherichia coli, Haemophilus influenzae and Methanococcus jannaschii are involved in 64 unique fusion events. The approach is general, and can be applied even to genes of unknown function.


Journal of Molecular Evolution | 1997

CONSERVED CLUSTERS OF FUNCTIONALLY RELATED GENES IN TWO BACTERIAL GENOMES

Javier Tamames; Georg Casari; Christos A. Ouzounis; Alfonso Valencia

Abstract. An approach for genome comparison, combining function classification of gene products and sequence comparison, is presented. The genomes of Haemophilus influenzae and Escherichia coli are analyzed, and all genes are classified into nine major functional classes, corresponding to important cellular processes. To study gene order relationships and genome organization in the two bacteria, we performed statistics on neighboring pairs of genes. To estimate the significance of the observations, a statistical model based on binomial distributions has been developed. Significant patterns of gene order are observed within, as well as between, the two bacterial genomes: Functionally related genes tend to be neighbors more often than do unrelated genes. Some of these groups represent well-known operons, but additional gene clusters are identified. These clusters correspond to genomic elements that have been conserved during bacterial evolution. In addition to nearest-neighbor relationships, the method is also useful to study the relative direction of transcription in genomes, which is also highly conserved between homologous gene pairs. This new approach combines the high-level description of molecular function with pair statistics that express genome organization. It is expected to complement traditional methods of sequence analysis in the study of genomic structure, function, and evolution.


BMC Evolutionary Biology | 2009

Emergence, development and diversification of the TGF- β signalling pathway within the animal kingdom

Lukasz Huminiecki; Leon Goldovsky; Shiri Freilich; Aristidis Moustakas; Christos A. Ouzounis; Carl-Henrik Heldin

BackgroundThe question of how genomic processes, such as gene duplication, give rise to co-ordinated organismal properties, such as emergence of new body plans, organs and lifestyles, is of importance in developmental and evolutionary biology. Herein, we focus on the diversification of the transforming growth factor-β (TGF-β) pathway – one of the fundamental and versatile metazoan signal transduction engines.ResultsAfter an investigation of 33 genomes, we show that the emergence of the TGF-β pathway coincided with appearance of the first known animal species. The primordial pathway repertoire consisted of four Smads and four receptors, similar to those observed in the extant genome of the early diverging tablet animal (Trichoplax adhaerens). We subsequently retrace duplications in ancestral genomes on the lineage leading to humans, as well as lineage-specific duplications, such as those which gave rise to novel Smads and receptors in teleost fishes. We conclude that the diversification of the TGF-β pathway can be parsimoniously explained according to the 2R model, with additional rounds of duplications in teleost fishes. Finally, we investigate duplications followed by accelerated evolution which gave rise to an atypical TGF-β pathway in free-living bacterial feeding nematodes of the genus Rhabditis.ConclusionOur results challenge the view of well-conserved developmental pathways. The TGF-β signal transduction engine has expanded through gene duplication, continually adopting new functions, as animals grew in anatomical complexity, colonized new environments, and developed an active immune system.


Current Opinion in Structural Biology | 1994

From genome sequences to protein function

Peer Bork; Christos A. Ouzounis; Chris Sander

Abstract A major goal of genome sequencing projects is the complete description of the function of all proteins. For most proteins sequenced in genome projects, an experimentally determined function is not available. Fortunately, evolutionary relationships can be exploited to predict the function of many other proteins from their amino acid sequence. The techniques for such predictions, sequence analysis by computational and database methods, are becoming increasingly sophisticated and are now an essential part of genome analysis.


Applied Bioinformatics | 2005

BioLayout(Java): versatile network visualisation of structural and functional relationships.

Leon Goldovsky; Ildefonso Cases; Anton J. Enright; Christos A. Ouzounis

Visualisation of biological networks is becoming a common task for the analysis of high-throughput data. These networks correspond to a wide variety of biological relationships, such as sequence similarity, metabolic pathways, gene regulatory cascades and protein interactions. We present a general approach for the representation and analysis of networks of variable type, size and complexity. The application is based on the original BioLayout program (C-language implementation of the Fruchterman-Rheingold layout algorithm), entirely re-written in Java to guarantee portability across platforms. BioLayout(Java) provides broader functionality, various analysis techniques, extensions for better visualisation and a new user interface. Examples of analysis of biological networks using BioLayout(Java) are presented.


FEBS Letters | 1993

Homology of the NifS family of proteins to a new class of pyridoxal phosphate-dependent enzymes

Christos A. Ouzounis; Chris Sander

Iterative profile sequence analysis reveals a remote homology of peroxisomal serine‐pyruvate aminotransferases from mammals to the small subunit of soluble hydrogenases from cyanobacteria, an isopenicillin N epimerase, the NifS gene products from bacteria and yeast, and the phosphoserine aminotransferase family. All members of this new class whose function is known are pyridoxal phosphate‐dependent enzymes, yet they have distinct catalytic activities. Upon alignment, a lysine around position 200 remains invariant and is predicted to be the pyridoxal phosphate‐binding residue. Based on the detected homology, it is predicted that NifS has also a pyridoxal phosphate‐dependent serine (or related) aminotransferase function associated with nitrogen economy and/or protection during nitrogen fixation.


Trends in Biotechnology | 1996

Computational comparisons of model genomes

Christos A. Ouzounis; Georg Casari; Chris Sander; Javier Tamames; Alfonso Valencia

Complete genomes from model organisms provide new challenges for computational molecular biology. Novel questions emerge from the genome data obtained from the functional prediction of thousands of gene products. In this review, we present some approaches to the computational comparison of genomes, based on sequence and text analysis, and comparisons of genome composition and gene order.


Journal of Molecular Evolution | 1999

FUNCTIONAL CLASSES IN THE THREE DOMAINS OF LIFE

Miguel A. Andrade; Christos A. Ouzounis; Chris Sander; Javier Tamames; Alfonso Valencia

Abstract. The evolutionary divergence among the three major domains of life can now be addressed through the first set of complete genomes from representative species. These model species from the three domains of life, Haemophilus influenzae for Bacteria, Saccharomyces cerevisiae for Eukarya, and Methanococcus jannaschii for Archaea, provide the basis for a universal functional classification and analysis. We have chosen 13 functional classes and three superclasses (ENERGY, COMMUNICATION and INFORMATION) as global descriptors of protein function. Compositional comparison of the three complete genomes reveals that functional classes are ubiquitous yet diverse in the three domains of life. Proteins related with ENERGY processes are generally represented in all three domains, while those related with COMMUNICATION represent the most distinctive functional feature of each single domain. Finally, functions related with INFORMATION processing (translation, transcription, and replication) show a complex behaviour. In Archaea, proteins in this superclass are related with proteins in either Eukarya or Bacteria, as recognized previously. The distribution of functional classes in the three domains accurately reflects the principal characteristics of cellular life forms.


Archaea | 2004

Automated metabolic reconstruction for Methanococcus jannaschii

Sophia Tsoka; David Simon; Christos A. Ouzounis

We present the computational prediction and synthesis of the metabolic pathways in Methanococcus jannaschii from its genomic sequence using the PathoLogic software. Metabolic reconstruction is based on a reference knowledge base of metabolic pathways and is performed with minimal manual intervention. We predict the existence of 609 metabolic reactions that are assembled in 113 metabolic pathways and an additional 17 super-pathways consisting of one or more component pathways. These assignments represent significantly improved enzyme and pathway predictions compared with previous metabolic reconstructions, and some key metabolic reactions, previously missing, have been identified. Our results, in the form of enzymatic assignments and metabolic pathway predictions, form a database (MJCyc) that is accessible over the World Wide Web for further dissemination among members of the scientific community.


Journal of Molecular Evolution | 1995

A Drosophila hsp70 gene contains long, antiparallel, coupled open reading frames (LAC ORFs) conserved in homologous loci

Irene Konstantopoulou; Christos A. Ouzounis; Elena Drosopoulou; Minas Yiangou; Paschalis Sideras; Chris Sander; Zacharias G. Scouras

A clone isolated from a Drosophila auraria heat-shock cDNA library presents two long, antiparallel, coupled (LAC) open reading frames (ORFs). One strand ORF is 1,929 nucleotides long and exhibits great identity (87.5% at the nucleotide level and 94% at the amino acid level) with the hsp70 gene copies of D. melanogaster, while the second strand ORF, in antiparallel in-frame register arrangement, is 1,839 nucleotides long and exhibits 32% identity with a putative, recently identified, NAD+-dependent glutamate dehydrogenase (NAD+-GDH). The overlap of the two ORFs is 1,824 nucleotides long. Computational analysis shows that this LAC ORF arrangement is conserved in other hsp70 loci in a wide range of organisms, raising questions about possible evolutionary benefits of such a peculiar genomic organization.

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Alfonso Valencia

Barcelona Supercomputing Center

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Georg Casari

European Bioinformatics Institute

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Peer Bork

University of Würzburg

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Fotis E. Psomopoulos

Aristotle University of Thessaloniki

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Javier Tamames

Spanish National Research Council

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Anton J. Enright

European Bioinformatics Institute

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