Published in

Bentham Science Publishers, Combinatorial Chemistry & High Throughput Screening, 1(7), p. 1-9

DOI: 10.2174/138620704772884779

Links

Tools

Export citation

Search in Google Scholar

(Review Article) Screening for Disease-Markers and Investigating Drug Effects by Proteome Profiling: Can it Meet Expectations?

Journal article published in 2004 by Christopher Gerner ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Drugs exert their functions mainly by affecting proteins. Therefore, it seems straightforward to focus on proteins in order to investigate drug effects. Unfortunately, proteins are of very high complexity, rendering it much more difficult to screen for protein alterations as compared to gene regulation. However, the efficiency and applicability of proteome analysis has been dramatically increased recently. We are on the way to be able to comprehensively assess disease-related proteome alterations, which may become an essential source of information for knowledge-based drug design. This review will provide an overview of current techniques in proteome analysis, focusing on screening technologies for biomedical research. An outlook at the future potential of proteomics supported by modern bioinformatics will highlight why proteomics is worth the effort.