Next, we assessed the database search on the selected dataset using spectra generated with the four simulation techniques. This serves as a comprehensive comparison of the performance of these techniques to further evaluate their strengths and weaknesses. This task was significantly more challenging due to the errors in simulated peak shifts and peak numbers compared to GT. The best-performing algorithm was HungDist-NN, achieving a top-1 and top-3 accuracy of 56% and 77% for ACD, respectively. Among the simulation techniques, ACD performed the best, followed by MNova and ML.