Predicting Moonlighting Proteins to Prevent Drug Side Effects
Research on side-effects of drugs became an important subject of studies in the pharmaceutical field. Side-effects may be encountered when the chosen drug target is a moonlighting protein (i.e. protein with several unrelated functions). Therefore, this kind of proteins remains widely unknown, and there is a need to develop a method to identify them. We propose a large-scale and without a priori method based on the partitioning of protein-protein interactions networks. Proteins interact to perform there functions, and the partitioning group in a same class proteins involved in a same biological process. Then, proteins find at the intersection of several classes are good moonlighting proteins candidates.
Institut National de la Santé et de la Recherche Médicale
Genetics and Development Institute
Ridding Drugs of Undesired Side Effects
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