Researchers computationally find the needle in a haystack to treat rare diseases

ScienceDaily | 3/13/2018 | Staff
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"Rare diseases sometimes affect such a small population that discovering treatments would not be financially feasible unless through humanitarian and governmental incentives. These conditions that are sometimes left untreated are labeled 'orphan diseases.' We developed a way to computationally find matches between rare disease protein structures and functions and existing drug interactions that can help treat patients with some of these orphan diseases," said Misagh Naderi, one of the paper's lead authors and a doctoral candidate in the LSU Department of Biological Sciences.

This research will be published this week in the npj Systems Biology and Applications journal, published by the Nature Publishing Group in partnership the Systems Biology Institute.

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