Development of new drug candidates through the integration of computer-aided drug design with cell-based high-throughput assays.

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Projektnummer

6934.3;4 LSPP-LS

Projekttitel

Development of new drug candidates through the integration of computer-aided drug design with cell-based high-throughput assays.

Projekttitel Englisch

Development of new drug candidates through the integration of computer-aided drug design with cell-based high-throughput assays.

Texte zu diesem Projekt

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Kurzbeschreibung	-	-	-
Abstract	-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Englisch)	Development of new drug candidates through the integration of computer-aided drug design with cell-based high-throughput assays.
Abstract (Englisch)	The objectives of this collaboration are a) the development of computational methods for de novo drug design and for target-specific virtual screening of compound libraries, and b) their application for identifying in vivo inhibitors of pharmaceutically relevant targets. In silico-selected molecules will be tested for their effective activity towards pharmaceutically relevant targets in selective cell-based assays. This iterative, cyclic approach will enable the validation and improvement of the computational methods under development and the identification of potential ¿lead compounds¿ (drug precursors) that target disease-relevant proteins inside cells.

Kategorie

Text

Kurzbeschreibung
(Englisch)

Development of new drug candidates through the integration of computer-aided drug design with cell-based high-throughput assays.

Abstract
(Englisch)

The objectives of this collaboration are a) the development of computational methods for de novo drug design and for target-specific virtual screening of compound libraries, and b) their application for identifying in vivo inhibitors of pharmaceutically relevant targets. In silico-selected molecules will be tested for their effective activity towards pharmaceutically relevant targets in selective cell-based assays. This iterative, cyclic approach will enable the validation and improvement of the computational methods under development and the identification of potential ¿lead compounds¿ (drug precursors) that target disease-relevant proteins inside cells.