Computer Aided Drug Design, often referred to as In Silico Screening, has become an integral part of the toolkit for pharmaceutical research over the last 30 years. As computers have become powerful enough to simulate chemical reactions and interactions, the ability of researchers to better pinpoint and predict outcomes for potential molecules in the drug design process has increased many times over. However, for more complex chemical interactions, even the most powerful classical computers available today may take months or even years to run a chemical simulation in very large virtual chemical spaces.
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Polarisqb is using the power of quantum computers to scale up the possibilities of Computer Aided Drug Design. Currently, quantum computers are capable of solving large optimization problems in a fraction of the time it would take classical computers. This is what allows Polarisqb to scale up drug design. By shortening this timeframe, researchers are able to better identify leads for difficult or previously “undruggable” targets. In doing so, Polarisqb strives to empower researchers to address many diseases or conditions that were previously viewed as untreatable, fulfilling our mission to help treat and find cures for all diseases for all people.