The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR23
  5. Bjl-miR23j

Accession: B72182822

Entry

ID: Bjl-miR23j
Alias: F32880.I000001.A11*
Sequence: AUCACAUUGCCAGGGAUU
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-miR23j; bca-miR23j; bch-miR23g; bhi-miR23; cit-miR23bd; cmd-miR23n; cof-miR23c; fmu-miR23b; hcr-miR23m; llu-miR23b; mpu-miR23; poe-miR23ao; sdf-miR23c; sgi-miR23b; sor-miR23bb; tch-miR23c; vph-miR23c;

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) !    0.0015   19.5   0.0  cm       47       64 ~~           1          18 + ~~ 1.00 5'&3' 0.44
                   ???      ?????????       NC
             ~~~~~~>>>------>>>>>>>>>~~~~~~ CS
   mir-23  1 <[46]*AUCACAUUGCCAGGGAuU*[11]> 75
                   AUCACAUUGCCAGGGAUU
vph-miR23c  1 <[ 0]*AUCACAUUGCCAGGGAUU*[ 0]> 18
             ......******************...... PP

Targets

Predicted by TargetFinder

NM_000084 ;   NM_000174 ;   NM_000255 ;   NM_000769 ;   NM_000770 ;   NM_000771 ;   NM_000772 ;   NM_001004467 ;   NM_001012974 ;   NM_001018090 ;   NM_001018091 ;   NM_001018100 ;   NM_001024611 ;   NM_001038603 ;   NM_001079673 ;   NM_001102562 ;   NM_001104586 ;   NM_001127898 ;   NM_001127899 ;   NM_001128925 ;   NM_001131055 ;   NM_001134382 ;   NM_001135674 ;   NM_001135675 ;   NM_001135676 ;   NM_001145664 ;   NM_001161560 ;   NM_001161561 ;   NM_001161562 ;   NM_001161563 ;   NM_001161564 ;   NM_001161565 ;   NM_001161566 ;   NM_001165927 ;   NM_001178130 ;   NM_001178131 ;   NM_001184773 ;   NM_001184774 ;   NM_001184775 ;   NM_001184776 ;   NM_001198853 ;   NM_001198854 ;   NM_001198855 ;   NM_001244734 ;   NM_001256798 ;   NM_001257197 ;   NM_001257198 ;   NM_001271882 ;   NM_001278438 ;   NM_001282163 ;   NM_001282910 ;   NM_001282911 ;   NM_001282912 ;   NM_001285900 ;   NM_001286487 ;   NM_001287590 ;   NM_001287591 ;   NM_001287592 ;   NM_001289009 ;   NM_001300845 ;   NM_001317896 ;   NM_001317897 ;   NM_001321268 ;   NM_001321269 ;   NM_001322427 ;   NM_001322428 ;   NM_001322429 ;   NM_001330397 ;   NM_001330619 ;   NM_001331026 ;   NM_001348277 ;   NM_001351589 ;   NM_001351680 ;   NM_001351976 ;   NM_001352676 ;   NM_001352677 ;   NM_001352678 ;   NM_001352679 ;   NM_001357021 ;   NM_001363186 ;   NM_001363756 ;   NM_001364929 ;   NM_001364930 ;   NM_001364931 ;   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_001365953 ;   NM_001366652 ;   NM_001366655 ;   NM_001366657 ;   NM_001367508 ;   NM_001367509 ;   NM_001367510 ;   NM_001367711 ;   NM_001370227 ;   NM_001370228 ;   NM_001371163 ;   NM_001374295 ;   NM_001963 ;   NM_001977 ;   NM_002279 ;   NM_003441 ;   NM_003590 ;   NM_003875 ;   NM_004525 ;   NM_004525 ;   NM_005569 ;   NM_006275 ;   NM_012343 ;   NM_014869 ;   NM_014923 ;   NM_014932 ;   NM_015028 ;   NM_015035 ;   NM_015497 ;   NM_015533 ;   NM_016733 ;   NM_017777 ;   NM_018042 ;   NM_018057 ;   NM_018462 ;   NM_018557 ;   NM_021115 ;   NM_024744 ;   NM_025153 ;   NM_080616 ;   NM_133264 ;   NM_138436 ;   NM_152451 ;   NM_173508 ;   NM_174921 ;   NM_181521 ;   NM_182828 ;   NM_182977 ;   NM_183416 ;   NM_194286 ;   NM_203454 ;   NM_205847 ;   NR_028077 ;   NR_034009 ;   NR_034113 ;   NR_034134 ;   NR_046099 ;   NR_046622 ;   NR_102431 ;   NR_102432 ;   NR_103528 ;   NR_104367 ;   NR_104368 ;   NR_104369 ;   NR_104370 ;   NR_104371 ;   NR_110204 ;   NR_110205 ;   NR_121604 ;   NR_133668 ;   NR_133669 ;   NR_135490 ;   NR_136330 ;   NR_136331 ;   NR_136509 ;   NR_136510 ;   NR_136511 ;   NR_136512 ;   NR_136513 ;   NR_144459 ;   NR_146293 ;   NR_148033 ;   NR_148034 ;   NR_148361 ;   NR_148362 ;   NR_160284 ;   NR_160526 ;   NR_160527 ;  

Predicted by TAPIR

NM_000769 ;   NM_000770 ;   NM_000772 ;   NM_001018090 ;   NM_001018091 ;   NM_001018100 ;   NM_001024611 ;   NM_001099952 ;   NM_001128925 ;   NM_001131055 ;   NM_001161560 ;   NM_001161561 ;   NM_001161562 ;   NM_001161563 ;   NM_001161564 ;   NM_001161565 ;   NM_001165927 ;   NM_001168272 ;   NM_001184773 ;   NM_001198853 ;   NM_001198855 ;   NM_001256850 ;   NM_001285900 ;   NM_001289009 ;   NM_001321268 ;   NM_001321269 ;   NM_001330397 ;   NM_001355457 ;   NM_001367711 ;   NM_001369716 ;   NM_001374295 ;   NM_002222 ;   NM_002279 ;   NM_003590 ;   NM_012343 ;   NM_015028 ;   NM_017777 ;   NM_018042 ;   NM_018557 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_152451 ;   NM_175075 ;   NM_181521 ;   NM_182828 ;   NM_205847 ;   NR_034009 ;   NR_046622 ;   NR_104371 ;   NR_160284 ;