Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014:2014:897653.
doi: 10.1155/2014/897653. Epub 2014 Feb 27.

Improved candidate drug mining for Alzheimer's disease

Yu-Huei Cheng  1 , Li-Yeh Chuang  2 , Hsueh-Wei Chang  3 , Cheng-Hong Yang  4
Affiliations

Improved candidate drug mining for Alzheimer's disease

Yu-Huei Cheng et al. Biomed Res Int. 2014.

Abstract

Alzheimer's disease (AD) is the main cause of dementia for older people. Although several antidementia drugs such as donepezil, rivastigmine, galantamine, and memantine have been developed, the effectiveness of AD drug therapy is still far from satisfactory. Recently, the single nucleotide polymorphisms (SNPs) have been chosen as one of the personalized medicine markers. Many pharmacogenomics databases have been developed to provide comprehensive information by associating SNPs with drug responses, disease incidence, and genes that are critical in choosing personalized therapy. However, we found that some information from different sets of pharmacogenomics databases is not sufficient and this may limit the potential functions for pharmacogenomics. To address this problem, we used approximate string matching method and data mining approach to improve the searching of pharmacogenomics database. After computation, we can successfully identify more genes linked to AD and AD-related drugs than previous online searching. These improvements may help to improve the pharmacogenomics of AD for personalized medicine.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The flowchart for PharmGKB-based pharmacogenomics of AD in this study.
Figure 2
Figure 2
PharmGKB-pharmacogenomics online query for the variant information (SNP rs#ID) of “Alzheimer's disease.” Retrieval source: http://www.pharmgkb.org/disease/PA443319?previousQuery=Alzheimer's%20disease.
Figure 3
Figure 3
Gene and drug related information of “Alzheimer's disease” online query from PharmGKB. Retrieval source: http://www.pharmgkb.org/disease/PA443319?previousQuery=Alzheimer's%20disease#tabview=table 3&subtab=33.
Algorithm 1
Algorithm 1
Pseudocode for the edit distance used for approximate string matching.
Algorithm 2
Algorithm 2
Pseudocode for a priori algorithm for the data mining in PharmGKB, where ε is a support threshold, L is the frequent gene subsets that satisfy the support threshold, k is the number of current iterations, and C is the candidate set, and count[gene] accesses a field of the data structure that represents gene candidate set.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Berchtold NC, Cotman CW. Evolution in the conceptualization of dementia and Alzheimer’s disease: Greco-Roman period to the 1960s. Neurobiology of Aging. 1998;19(3):173–189. - PubMed
    1. Shiau M-Y, Yu L, Yuan H-S, Lin J-H, Liu C-K. Functional performance of Alzheimer’s disease and vascular dementia in southern Taiwan. The Kaohsiung Journal of Medical Sciences. 2006;22(9):437–446. - PMC - PubMed
    1. Thies W, Bleiler L. 2013 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia. 2013;9(2):208–245. - PubMed
    1. Kruglyak L, Nickerson DA. Variation is the spice of life. Nature Genetics. 2001;27(3):234–236. - PubMed
    1. Voisey J, Morris CP. SNP technologies for drug discovery: a current review. Current Drug Discovery Technologies. 2008;5(3):230–235. - PubMed

Publication types

LinkOut - more resources