| Autor: |
Hamaneh MB; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA., Yu YK; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA. |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of rare diseases research & treatment [J Rare Dis Res Treat] 2016; Vol. 1 (3), pp. 1-4. Date of Electronic Publication: 2016 Oct 18. |
| DOI: |
10.29245/2572-9411/2016/3.1044 |
| Abstrakt: |
In recent years several methods have been proposed to assign pairwise mechanism- based similarity scores to human diseases. Despite their differences in approach and performance, these methods work in a somewhat similar manner: first a set of biomolecules (genes, proteins, chemicals, etc.) is associated with each disease, and then a measure is defined to calculate the similarity between the sets assigned to a pair of diseases. Since the similarity score between two diseases is defined based on the underlying molecular processes, a high score may hint at a shared cause, and therefore a similar treatment, for both diseases. This is of great practical importance especially when a rare or newly-discovered disease, for which limited information is available, is found to be related to a disease with a known treatment. Thus, in this mini-review we briefly discuss the recently developed methods for computing mechanism-based disease- disease similarities. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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