Through the use of an ANN index solely a restricted number of probably the most related library spectra are retrieved during the candidate choice step, which hastens the subsequent candidate rating step because far fewer SSM scores need to be computed. The listed pages are saved within the database to be retrieved later in the course of the search question. Instead of only inspecting the subspace that exactly incorporates the question level the neighboring subspaces which can be closest to the question point across all index timber can be inspected as effectively. We discuss the effect of those hyperparameters intimately in section 3.2. For the iPRG2012 information set we used ANN indices consisting of a hundred to a thousand Backlink Workshop timber, while the number of nodes inspected during querying was diverse between 20 000 and 400 000. To investigate the HEK293 knowledge set an ANN index consisting of 1000 bushes was used and 200 000 nodes have been inspected throughout looking. Two main hyperparameters affect the efficiency of the ANN index: the number of bushes in the index and the number of nodes to examine per question. However, this enchancment comes at the expense of an increased reminiscence consumption as the dimensions of the ANN index scales linearly with the variety of index bushes

In contrast, for the usual searches a precursor mass window of 0.02 Da was used as SpectraST does not support specification of tolerances in ppm models. The spectrum preprocessing settings are as described in section 2.1.1. For the iPRG2012 knowledge set a precursor mass window of 20 ppm was used for the usual search and 20 ppm followed by 300 Da for the cascade open searches. For the HEK293 data set a precursor mass window of 5 ppm was used for the usual searches and a precursor mass window of 5 ppm followed by 500 Da was used for the cascade open searches. A precursor mass window of 5 ppm was used for the usual searches, and a precursor mass window of 500 Da was used for the open searches. Just like the ANN-SoLo settings a precursor mass window of 500 Da was used for Backlink Workshop the open searches. Library caching was enabled, which is a necessary requirement so as to be in a position to finish the open searches. For all HEK293 searches a fragment mass tolerance of 0.02 Da was used. However, using a large precursor mass window would possibly lead to a loss in identifications of spectra that might have beforehand been identified during an ordinary search

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