We use the term calculated here to denote in silico evaluation using the combination of public data with a custom scoring function (we intentionally avoided the term predicted in this context because machine learning methods were not used). The evaluation of probes at scale involves comparing public data at different stringencies according to availability. The seven key criteria are: 1) < 100 nM target potency in vitro, 2) < 1 uM for cell-based assays with evidence of direct target engagement, 3) target selectivity > 100-fold, 4) absence of structural alerts indicating chemical liabilities 5) identification of an inactive analogue as control with significantly lower potency or inactive against the primary target 41 , 6) an orthogonal probe with a different chemotype against the same primary target, and 7) SAR data to increases confidence in specific target modulation. The simplest approach to assigning a compound as a probe is to use these criteria (or a subset thereof). However, this can be nuanced by weightings (e.g. for potency and selectivity) as well as more complex scoring (e.g. functions favouring compounds with a wider range of target profiling data). In contrast to experimental probes, the data for the evaluation of the calculated probes from different sources can be less consistent and may not be acquired with the objective of developing and validating a probe per se. The calculated sources included here are from Probe Miner and the Tool compound set .