The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR23
  5. Bjl-miR23k

Accession: B72182823

Entry

ID: Bjl-miR23k
Alias: F32880.J000020.A11*
Sequence: AUCACAUUGCCAGGGAUUU
Description: microRNA mir-23 predicted
Species: 焦榔  Species latin name: -
TCM Name:
TCM Resource (Sample number): 焦榔(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR23k; bca-miR23k; bch-miR23h; cfe-miR23i; cit-miR23be; cof-miR23d; hcr-miR23n; poe-miR23ap; sor-miR23bc; vph-miR23d;

Rfam Alignments

>> mir-23  microRNA mir-23
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   0.00086   20.3   0.0  cm       47       65 ~~           1          19 + ~~ 1.00 5'&3' 0.42
                   ???      ?????????        NC
             ~~~~~~>>>------>>>>>>>>>:~~~~~~ CS
   mir-23  1 <[46]*AUCACAUUGCCAGGGAuUu*[10]> 75
                   AUCACAUUGCCAGGGAUUU
vph-miR23d  1 <[ 0]*AUCACAUUGCCAGGGAUUU*[ 0]> 19
             ......*******************...... PP

Targets

Predicted by TargetFinder

NM_000084 ;   NM_001004467 ;   NM_001024611 ;   NM_001104586 ;   NM_001127898 ;   NM_001127899 ;   NM_001134382 ;   NM_001145664 ;   NM_001165927 ;   NM_001184773 ;   NM_001184774 ;   NM_001184775 ;   NM_001184776 ;   NM_001256850 ;   NM_001257197 ;   NM_001257198 ;   NM_001267550 ;   NM_001282163 ;   NM_001282910 ;   NM_001282911 ;   NM_001282912 ;   NM_001321268 ;   NM_001321269 ;   NM_001322427 ;   NM_001322428 ;   NM_001322429 ;   NM_001330397 ;   NM_001330619 ;   NM_001352676 ;   NM_001352677 ;   NM_001352678 ;   NM_001352679 ;   NM_001366652 ;   NM_001366655 ;   NM_001366657 ;   NM_001367508 ;   NM_001367509 ;   NM_001367510 ;   NM_001374295 ;   NM_001977 ;   NM_002279 ;   NM_003319 ;   NM_003590 ;   NM_004525 ;   NM_005569 ;   NM_006734 ;   NM_014869 ;   NM_015035 ;   NM_016733 ;   NM_017777 ;   NM_018057 ;   NM_021115 ;   NM_024744 ;   NM_025153 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_194286 ;   NM_205847 ;   NR_034134 ;   NR_046099 ;   NR_121604 ;   NR_136330 ;   NR_136331 ;   NR_148033 ;   NR_148034 ;  

Predicted by TAPIR

NM_001024611 ;   NM_001165927 ;   NM_001184773 ;   NM_001256850 ;   NM_001321268 ;   NM_001321269 ;   NM_001330397 ;   NM_001365923 ;   NM_001365924 ;   NM_001365925 ;   NM_001365926 ;   NM_001365927 ;   NM_001365928 ;   NM_001365929 ;   NM_001365930 ;   NM_001365931 ;   NM_001365932 ;   NM_001365933 ;   NM_001365934 ;   NM_001365935 ;   NM_001365936 ;   NM_001374295 ;   NM_003590 ;   NM_014932 ;   NM_017777 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_205847 ;   NR_034009 ;