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. 2017 Jul 13;12(7):e0181231. doi: 10.1371/journal.pone.0181231

Table 3. The number of predicted miRNA targets, which include the functional one being examined, in different databases.

Human miRNA Functional target miRecords miRWalk miRSystem starBase CSmiRTar
miR-16-5p PPM1D 151 (6)a 916 (8) 151 (6) 4239 (1) 16
miR-301a-3p PTEN 352 (5) 715 (8) 561 (4) 144 (4) 14
miR-195-5p SLC2A3 479 (5) 942 (8) 404 (5) 338 (4) 125
miR-615-5p IGF2 66 (4) 196 (8) 3036 (1) N/A 57
miR-519d-3p CDKN1A 217 (5) 806 (8) 19 (6) 4 (5) 45
miR-135a-5p APC 687 (4) 1336 (7) 59 (6) 2262 (1) 27
miR-153-3p MCL1 42 (6) 111 (9) 177 (5) 246 (3) 156
miR-204-5p EZR 224 (5) 9 (11) 14 (7) 172 (3) 104
miR-103a-3p KLF4 3799 (3) 1751 (7) 1983 (2) 299 (3) 236
miR-497-5p RAF1 11043 (2) 1303 (8) 224 (5) 342 (4) 106

miRecords, miRWalk, miRSystem and starBase were all run with the setting of their algorithm filter as stringent as possible to minimize the number of predicted mRNA targets while still include the functional target being examined. CSmiRTar was run with the settings shown in Table 2.

- a151 (6) means that in miRecords, miR-16-5p has 151 target genes (including PPM1D) predicted by at least 6 different algorithms. Note that in miRecords, 6 is the most stringent setting of the algorithm filter for still reporting PPM1D as a predicted target gene of miR-16-5p.