PROBLEMS
Bioremediation is a process that employs biological systems, typically bacteria, microalgae, or fungi, to remove environmental pollutants from air, water, or soil. Molecular docking, a key method in understanding these processes, predicts the binding of small molecules to the target site, using the structures of both elements. However, this combinatorial method for screening large databases of docking configuration candidates faces significant challenges. Efficient exploration of vast chemical spaces is extremely difficult with classical approaches.
SOLUTIONS
Quandela has developed a Boson sampling based dense-subgraph identification algorithm to address the computational challenges in molecular docking for bioremediation.
BENEFITS
Our solution can significantly enhance the accuracy in identifying promising candidates for bioremediation processes, thereby supporting more efficient pollutant removal strategies. This application of quantum computing also fosters collaboration between quantum experts and life scientists, potentially accelerating advancements in environmental remediation techniques and addressing pressing environmental challenges.