ஜர்னல் ஆஃப் புரோட்டியோமிக்ஸ் & பயோ இன்ஃபர்மேடிக்ஸ்
திறந்த அணுகல்

சுருக்கம்

Repurposing Anti-Inflammasome NRTIs for AMD by Data Mining

Abhishek Narain Singh

Background: As we progress towards big data and large scale data analytics based genomic medicine, what should not be missed in the personalized genomic medicine context it the population specific drug prescription. Drug prescription based on population study such as demographic, gender, age, etc. is common but what can also be learnt is the drug and disease association, and that association with any subsequent follow up or non-follow up of a disease.

Methods: In the case of a non-follow up of another disease due to a certain drug-disease usage association, the drug can be a strong candidate for another disease, and thus cost effective. This can largely be possible if the fundamental biochemical pathway associated in the diseases are related or same in a key biomolecular component. Here we test the usage of drugs such as NRTIs used for HIV and Hepatitis B disease to be repositioned for usage in blindness disorders such as age related macular degeneration AMD, and find the results promising. The article also proposes new method to determine sequence of ALU isoforms in the context of AMD.

Results: The NRTIs can be safely placed for usage in combating AMD and associated eye disorders.

Conclusion: Drug Repositioning by Big Data Analytics holds great promise in cutting the time, cost and efforts in designing new molecule for combating a disease.