IN SILICO GENOME MODELLING FOR

DISCOVERY OF ANTI-PATHOGENE TARGETS

THE IN SILICO APPROACH COMBINES DIFFERENT SCIENCES

OBJECTIVE

It is used for identification of pathogenic

microorganisms resistant to defined antibiotics, for

which a suitable vaccine is still not available

The in silico methods decrease the time and

expenses for screening and can be applied for a

variety of pathogens.

OBJECTIVE

Currently, the in silico approach is widely used for

administering of new drugs and it supports the

development of vaccines against bacterial

pathogens.

OBJECTIVE

These results can be used for development of strategies

for construction of strains-overproducres.

Х-omics data are accumulated with extreme speed.

Various data bases for handling of information

encompassing from simple nucleotide sequences to

complex metabolic pathways are under development

and/or upgrading.

The availability of fully sequenced genomes of different

microorganisms allows the development of in silico

metabolic models of genome scale.

In silico metabolic models of genome scale are available

for E. coli, Helicobacter pylori, Saccharomyces cerevisae,

Haemophilus influenzae, etc.

The introduction of new drug at the market commonly

needs 10 – 15 years and huge investment.

The technological advance together with the improved

and innovative strategies can decrease both the expenses

and time needed for the development of a new drug.

The identification of drug targets is the first step in the

process of new drugs discovery.

During the last years the strategies are refocused

progressively from a general approach to genomic and

metabolomics approaches for development of new drugs

against pathogenic microorganisms possessing antibiotic

resistance.

Huge advancement has been registered in the drug target

identification, since the human genome data are freely

available.

Experimental computational methods are available,

fast and applicable for the purposes of prediction.

NCBI Genome data base (www.ncbi.nlm.nih.GOV /

геном), protein data base of Swiss-Prot (HTTP:

//us.expasy.org/sprot) [Bairoch и Apweiler, 1997],°

(http://tubic.tju.edu.cn/deg), KEGG и др, 1999], are

indispensable part of the strategies for bacterial target

identification.

The application of computational approaches in the

genomics, proteomics, transcriptomics, interactomics,

metabolomics is a modern tendency aiming at discovery

of molecular mechanisms of human diseases, especially

cancer, heart diseases, infectious diseases, etc.

These approaches make the process of discovery faster

and more cost-effective.

THANK YOU FOR YOUR ATTENTION!