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Finding promising drug candidates against tuberculosis with multidisciplinary protocol based non-conventional search.

Objective

The main objective of the project is the development of a protocol capable of identifying i) novel drug binding sites and ii) novel drug-protein complexes of Mycobacterium tuberculosis proteins. Our present knowledge of human genomics and proteomics a llows possible new approaches in drug discovery, motivated by combinatorics-based data-mining and knowledge discovery techniques, sometimes labelled as "high throughput" techniques. Solely these approaches (without sound biological background) seem to be still inadequate for drug discovery. In the present project we aim to develop a protocol, rather than a software with two ingredients: a, A method, with an algorithmic solution in its centre, which identifies surface indentation patterns in protein 3 D structures. Using very high throughput methods based on recent result of data mining and information retrieval, pairwise searches will be conducted to predicate drug-protein binding in two main phases, a rough first phase (Silico 1) and a more thoroug h docking investigation (Silico 2) in the second phase. b, A structural and molecular biology protocol for examining the most promising drug-protein fit pairs with a variety of medium throughput and low throughput methods.

Call for proposal

FP6-2003-LIFESCIHEALTH-3
See other projects for this call

Funding Scheme

STREP - Specific Targeted Research Project

Coordinator

EOTVOS LORAND TUDOMANYEGYETEM
Address
Egyetem Ter 1-3
Budapest
Hungary

Participants (6)

MTA ENZIMOLOGIAI KUTATOINTEZET
Hungary
Address
Karolina Ut 29-31
Budapest
UNIVERSITY OF MESSINA
Italy
Address
C. Da Papardo S. Ta Sperone 31
Messina
EUROPEAN MOLECULAR BIOLOGY LABORATORY
Germany
Address
Meyerhofstrasse 1
Heidelberg
USTAV ORGANICKE CHEMIE A BIOCHEMIE, AKADEMIE VED CESKE REPUBLIKY
Czechia
Address
Flemingovo N. 2
Prague
COMBINATURE BIOPHARM AG
Germany
Address
Robert-rössle-str. 10
Berlin
MTA SZÁMÍTÁSTECHNIKAI ÉS AUTOMATIZÁLÁSI KUTATÓ INTÉZET (COMPUTER AND AUTOMATION RESEARCH INSTITUTE, HUNGARIAN ACADEMY OF SCIENCES)
Hungary
Address
Kende U. 13-17.
Budapest