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At least 145 records · Page 8Linked to original sources

Microbial genomes and vaccine design: refinements to the classical reverse vaccinology approach.

The advent of whole-genome sequencing of bacteria and advances in bioinformatics have revolutionized the study of bacterial pathogenesis, enabling the targeting of possible vaccine candidates starting from genomic information. Nowadays, the availability of hundreds of bacterial genomes enables identification of the genetic differences across several genomes from the same species. The unexpected degree of intra-species diversity suggests that a single genome sequence is not entirely representative and does not offer a complete picture of the genetic variability of a species. The practical consequence is that, in many cases, a universal vaccine is possible only by including a combination of antigens and this combination must take into account the pathogen population structure.

Animals↗

Evolution of transcriptional regulatory networks in microbial genomes.

Advances in sequencing and generating high-throughput expression data have created a situation in which it is possible to integrate comparative analysis with genome-wide studies of the structure and function of regulatory systems in model organisms. Recent studies have focused on topological properties and the evolution of regulatory networks. This problem can be addressed on several levels: evolution of binding sites upstream of orthologous or duplicated genes; co-evolution of transcription factors and the DNA motifs that they recognize; expansion, contraction and replacement of regulatory systems; the relationship between co-regulation and co-expression; and, finally, construction of evolutionary models that generate networks with realistic properties. This should eventually lead to the creation of a theory of regulatory evolution with a similar level of detail and understanding to the theory of molecular evolution of protein and DNA sequences.

Amino Acid Sequence↗

GenomeComp: a visualization tool for microbial genome comparison.

We have developed a software tool, GenomeComp, for summarizing, parsing and visualizing the genome sequences comparison results derived from voluminous BLAST textual output. With GenomeComp, the variation between genomes can be easily highlighted, such as repeat regions, insertions, deletions and rearrangements of genomic segments. This software provides a new visualizing tool for microbe comparative genomics.

Computational Biology↗

Paralogous genes encoding transport proteins in microbial genomes.

The largest superfamilies of prokaryotic genes encode transport proteins, but many transporters are encoded by orphan genes or those that comprise very small families. We have analyzed eighteen completely sequenced prokaryotic genomes for paralogous transport systems and have thereby identified 76 permease families. In this short review, we present and discuss the paralogues in some of these families and interpret the most prominent results, particularly those relevant to the largest permease superfamilies.

Bacteria↗

Searching for drug targets in microbial genomes.

Comparative analysis of the complete genome sequences of 10 bacterial pathogens available in the public databases offers the first insights into the drug discovery approaches of the near future. Genes that are conserved in different genomes often turn out to be essential, which makes them attractive targets for new broad-spectrum antibiotics. Subtractive genome analysis reveals the genes that are conserved in all or most of the pathogenic bacteria but not in eukaryotes; these are the most obvious candidates for drug targets. Species-specific genes, on the other hand, may offer the possibility to design drugs against a particular, narrow group of pathogens.

Anti-Bacterial Agents↗

Microbial genomics

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Journal Article↗

Microbial genomics

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Journal Article↗

Microbial genomics.

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Escherichia coli O157↗

Microbial genomics.

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Bacterial Proteins↗

Microbial genomes.

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Biotechnology↗