Herbal Compound Screening with GPU Computation on ZINC Database through Similarity Comparison Approach

Covid-19 is a global pandemic that drives many researchers to strive look for its solution, especially in the field of health, medicine, and total countermeasures. Early screening with in-silico processes crucial minimize search space potential drugs cure disease. This research aims find covid-19 disease ZINC database be further investigated through in-vitro method. About 997.402.117 chemical compounds are searched about their similarity some confirmed combat coronavirus. Sequential computation would take months accomplish this task. The general programming graphic processing unit approach used implement comparison algorithm parallel, order speed up process. result study shows parallel implementation can process 55 times faster, also have high scores found nature