Semantic Computational Models for Polypharmacology: Applications in Drug Repurposing

Abstract

This paper proposes a computational model based on the first order logic reasoning, for managing discoveries in Polypharmacology for the purpose of efficient drug repositioning. The model uses computational reasoning upon advances documented in the published literature and thus is primarily based on the range of discoveries in biomedical science. The idea behind the model is to exploit drugs multiple intended and particularly unintended therapeutical and adverse targets and discover if they can lead us towards drug repurposing. Computational pharmacology is a very complex field, but reasoning upon its concept can bring us closer to the ideal poly pharmacological world of finding, developing and approving multitargeted drugs and use them in drug repurposing.