The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR24
  5. sor-miR24ab

Accession: B62991451

Entry

ID: sor-miR24ab
Alias: F1805.K000534.A11*
Sequence: UGGCUCAGUUCAGCAGGAAA
Description: mir-24 microRNA precursor family predicted,partially
Species: 豨莶  Species latin name: Sigesbeckia orientalis
TCM Name: Xixiancao(豨莶草)  
TCM Resource (Sample number): 豨莶草(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

asc-miR24a; bch-miR24a; cit-miR24ab; cmd-miR24b; hcr-miR24a; poe-miR24b; sor-miR24ab; vph-miR24a;

Rfam Alignments

>> mir-24  mir-24 microRNA precursor family
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0014   19.6   0.0  cm       44       62 ~.           1          19 + ~. 1.00    5' 0.53
                                  ????????? ???   NC
                        ~~~~~~____>>>>>>>>>->>>-- CS
              mir-24  9 <[35]*UGGCUCAGuUCAGCAGGAA 62
                              UGGCUCAGUUCAGCAGGAA
          vph-miR24a  1 <[ 0]*UGGCUCAGUUCAGCAGGAA 19
                        ......******************* PP

Targets

Predicted by TargetFinder

NM_000458 ;   NM_001077594 ;   NM_001080480 ;   NM_001161528 ;   NM_001165923 ;   NM_001270440 ;   NM_001281834 ;   NM_001281835 ;   NM_001281836 ;   NM_001281837 ;   NM_001281838 ;   NM_001281853 ;   NM_001304286 ;   NM_001307940 ;   NM_001320238 ;   NM_001320239 ;   NM_001320240 ;   NM_001322117 ;   NM_001322118 ;   NM_001322119 ;   NM_001329928 ;   NM_001329929 ;   NM_001329930 ;   NM_001329931 ;   NM_001329932 ;   NM_001329933 ;   NM_001329934 ;   NM_001346880 ;   NM_001349455 ;   NM_001349456 ;   NM_001349457 ;   NM_001349458 ;   NM_001349459 ;   NM_001349460 ;   NM_001349461 ;   NM_001349462 ;   NM_001349463 ;   NM_001349464 ;   NM_001349465 ;   NM_002862 ;   NM_003097 ;   NM_005678 ;   NM_014611 ;   NM_017794 ;   NM_020786 ;   NM_020850 ;   NM_022804 ;   NM_022805 ;   NM_022806 ;   NM_022807 ;   NM_022808 ;   NM_024921 ;   NM_031429 ;   NM_145278 ;   NM_173647 ;   NR_024423 ;   NR_024424 ;   NR_036109 ;   NR_073465 ;   NR_110427 ;   NR_120336 ;   NR_146177 ;   NR_148046 ;  

Predicted by TAPIR

NM_001080480 ;   NM_001161528 ;   NM_001199563 ;   NM_001270440 ;   NM_001303 ;   NM_001320238 ;   NM_001320239 ;   NM_001320240 ;   NM_001322117 ;   NM_001322118 ;   NM_001322119 ;   NM_001329928 ;   NM_001329929 ;   NM_001329930 ;   NM_001329931 ;   NM_001329932 ;   NM_001329933 ;   NM_001329934 ;   NM_001346880 ;   NM_001349455 ;   NM_001349456 ;   NM_001349457 ;   NM_001349458 ;   NM_001349459 ;   NM_001349460 ;   NM_001349461 ;   NM_001349462 ;   NM_001349463 ;   NM_001349464 ;   NM_001349465 ;   NM_001353967 ;   NM_001353968 ;   NM_001353969 ;   NM_001353970 ;   NM_001353971 ;   NM_001353972 ;   NM_001353973 ;   NM_001353974 ;   NM_001353975 ;   NM_001353976 ;   NM_001370356 ;   NM_001370357 ;   NM_001370358 ;   NM_001370359 ;   NM_001370361 ;   NM_001370364 ;   NM_001370366 ;   NM_002862 ;   NM_003097 ;   NM_005678 ;   NM_006463 ;   NM_007073 ;   NM_014611 ;   NM_017794 ;   NM_020786 ;   NM_020850 ;   NM_022370 ;   NM_022804 ;   NM_022805 ;   NM_022806 ;   NM_022807 ;   NM_022808 ;   NM_031429 ;   NM_147147 ;   NM_201647 ;   NM_213622 ;   NR_024423 ;   NR_024424 ;   NR_036109 ;   NR_046374 ;   NR_046375 ;   NR_073465 ;   NR_120336 ;   NR_146177 ;   NR_148046 ;   NR_163410 ;   NR_163411 ;   NR_163412 ;   NR_163414 ;