The Bencao (Herbal) Database(本草数据库)
miRNA_Atlas(miRNA地图)
sRNA_Atlas(sRNA地图)
miRNA_Target(miRNA靶基因)
sRNA_Target(sRNA靶基因)
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About(关于)
OmicsAtlas
TranscriptomeAtlas
miRNA Atlas
miR23
cof-miR23d
Accession:
B21742244
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
cof-miR23d
Alias:
F32880.J000020.A11*
Sequence:
AUCACAUUGCCAGGGAUUU
Description:
microRNA mir-23 predicted
Species:
山茱萸
  Species latin name:
Cornus officinalis
TCM Name:
Shanzhuyu(山茱萸)
TCM Resource (Sample number):
山茱萸(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
;