How AI can Help Accelerate Drug Discovery

How AI can Help Accelerate Drug Discovery

The COVID-19 pandemic has caused havoc in human lives. Despite stringent locking steps and social distance protocols, the number of positive cases at the time of writing of this article was 41,171,093 worldwide, with 1,130,597 deaths.

Fremont, CA: Collaboration has been unprecedented, and we can see that this strategy continues to move forward in many respects. Knowledge sharing would make it easier for everybody, anywhere, to have access to test kits and therapeutics.And now it's also showing its mettle in the exploration of drugs. This is not surprising because AI inventions have become a daily dose for tech enthusiasts. Today, AI has the ability to boost drug development and medical research that could minimise drug prices in the long term—including the CAVID-19 vaccine.

The COVID-19 pandemic has caused havoc in human lives. Despite stringent locking steps and social distance protocols, the number of positive cases at the time of writing of this article was 41,171,093 worldwide, with 1,130,597 deaths. Owing to such troubling and unforeseen conditions, researchers are more focused on using technology to help them find a possible cure for this disease. Generally, discovering a new medication to treat a disease is like finding a needle in a haystack. It is also an extremely expensive, laborious and time-consuming solution. Moreover, using the current traditional drug discovery pipeline will take between five and ten years from the design stage to the market and could cost billions in the process. Next difficulty is conventional protein drug discovery approaches such as high-throughput screening, which require a lot of inadequate research and error. This takes a lot of time from researchers who are searching for new drug volunteers.

Thus, thanks to high-performance computing of supercomputers and artificial intelligence researchers, this method can be accelerated rapidly by screening billions of chemical compounds to identify relevant drug candidates. They also help scientists monitor the genetic variations of the virus over time, knowledge that will decide the value of every vaccine in the years to come.Earlier in 2020, a team of researchers from Penn State University discovered a solution that has the potential to expedite the process of discovering novel coronavirus therapy, that is quantum machine learning.