Bioinformatics
BIOINFORMATICS IN
DRUG DEVELOPMENT
AP.8
SOME PROBLEMS WITH DRUG DISCOVERY
Although drug discovery is a potentially rewarding process that is able to shape the world and how we live, it also comes with a lot of risks, complex development, and is very time consuming. Drug discovery is also very costly as pharmaceutical companies lose millions of dollars per drug trying to bring it into the market. The development of a new drug requires rigorous amounts of testing and meeting manufacturing standards before it can come into the market for public use. Because of this, majority of drugs fail to come to the market.
DD.1
how can bioinformatics fix this?
Introducing bioinformatics with drug discovery has made not only a positive impact on the drug designing process, but it also reduces risks within drug discovery and time as well. Interests in bioinformatics with drug discovery has grown exponentially as it provides a way to quickly generate more drugs in a short period of time with very low risk. As a result, a new field known as the Computer-Aided Drug Design has made its way into the real world making drug discovery more successful.
DD.2
EXAMPLES OF HOW BIOINFORMATICS CAN HELP
DRUG TARGET IDENTIFICATION
Researching the human genome sequence using bioinformatics helped define and classify the nucleotide compositions of those genes. These genes are responsible for the coding of target proteins, in addition to identifying new targets that offer more potential for new drug
DRUG TARGET IDENTIFICATION
DD.3
DRUG TARGET VALIDATION
After the discovery of “potential” drug targets, there is an inappreciable need to establish a strong association between a putative target and disease of interest.his process, known as target validation, is an area where bioinformatics is playing a significant role Drug target validation helps to moderate the potential for failure in the clinical testing and approval phases.
DRUG TARGET VALIDATION
DD.4