Bioinformatics can be used in pharmacology, genomic, transcriptomic and proteomic in drug target identification and validation. It is also used in the development of biomarkers and toxicogenomic and pharmacogenomic tools to maximise the therapeutic benefit of drugs.
How is bioinformatics used in pharmacology?
Bioinformatics can study how genetic variations influence drug response in individuals. The analysis of genomic data, can help researchers identify genetic markers that can predict an individual’s response to a particular drug or their susceptibility to adverse drug reactions.
Bioinformatics can offer multiple benefits, such as:
- Advancement of medical discovery and development of treatments,
- Disease monitoring and prevention,
- Improving the overall effectiveness and precision of clinical medicine.
Application of bioinformatics in pharmacology
- Bioinformatics can be used for applications in medicine ranging from research in genes, drugs to prevention. Bioinformatics researchers have played a critical role in pharmaceutical research. It also helps in new discoveries in terms of drugs that can be personalised to someone’s genetic pattern. Drug discovery is one of the main applications of bioinformatics.
- Bioinformatics can be combined with epidemiology to create preventive medicine by understanding causes of health issues, community healthcare infrastructure, disease patterns,
- Bioinformatics can also be useful for gene therapy especially for individual genes that have been adversely affected.
Why is pharmaceutical bioinformatics important?
Given the importance of drug metabolism in terms of safety and efficacy, it is crucial to have efficient and reliable ways to predict drug metabolism in vitro, in silico, and in intact organisms.
Bioinformatics medicine involves the processing of the genetic information in order to generate the genetic basis of health and disease that would lead to the efficient discovery of tailored and targeted drugs. Pharmaceutical bioinformatics deals with research problems requiring biological-sequence data, important sources of information, methods of access and the role of libraries and information centres as they relate to drug discovery, development and biotransformation.
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