Network construction for hepatitis C towards systemic drug design strategies
Sajitha Lulu S, A Shamundeeswari, An, Anand Prem Rajan, Vino Sundararajan, A. Mohana Priya · Journal of chemical and pharmaceutical research · 2014
In drug discovery, the role of multiple receptors b ased therapeutics is found to be a highly critical approach in producing high efficacy with reduced side effects d rug molecules. Hepatitis-C is found to be a threatf ul chronic disease, even ending up in death in many cases. In the present study, we have selected a few drugs whi ch are found highly potent against Hepatitis-c and have studied their side effects. Understanding the source and hi dden mechanisms of drug side effects is found to be chal lenging in the drug development process. Here comes the significance of system biology approaches for inter connecting different scales of drug actions like d rug-protein interactions , drug side effects towards side effec t prediction for uncharacterized drugs. The emphasi s of the study is to extend the systems approaches towards drug disco very for Hepatitis-C by using network analysis. We performed an extensive analysis to retrieve the network of ta rgeted proteins and side effects on the basis of co -occurrence of drugs in protein-binding profiles and side effect p rofiles. The analysis of 12 drugs with 18 proteins and 14 side effects resulted in the extraction of many correlat ed sets. This led to a biologically relevant assess ment regarding the relationship between drug‐ targeted proteins an d side effects. The identified side effects can be considered as possible phenotypic outcomes by drugs targeting the proteins that appear in the same correlated set. T his study is found to be useful in predicting potential side effects of drug candidate compounds based on their pro tein-binding profiles.