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The potential of translational bioinformatics approaches for pharmacology research
Author(s) -
Li Lang
Publication year - 2015
Publication title -
british journal of clinical pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.216
H-Index - 146
eISSN - 1365-2125
pISSN - 0306-5251
DOI - 10.1111/bcp.12622
Subject(s) - systems pharmacology , translational medicine , translational research , translational bioinformatics , data science , bioinformatics , clinical pharmacology , drug discovery , standardization , computational biology , personalized medicine , medicine , computer science , pharmacology , genomics , biology , drug , biochemistry , pathology , genome , gene , operating system
The field of bioinformatics has allowed the interpretation of massive amounts of biological data, ushering in the era of ‘omics’ to biomedical research. Its potential impact on pharmacology research is enormous and it has shown some emerging successes. A full realization of this potential, however, requires standardized data annotation for large health record databases and molecular data resources. Improved standardization will further stimulate the development of system pharmacology models, using translational bioinformatics methods. This new translational bioinformatics paradigm is highly complementary to current pharmacological research fields, such as personalized medicine, pharmacoepidemiology and drug discovery. In this review, I illustrate the application of transformational bioinformatics to research in numerous pharmacology subdisciplines.