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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OmicsAtlas
TranscriptomeAtlas
miRNA Atlas
miR156
sto-miR156d
Accession:
B65369502
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
sto-miR156d
Alias:
F390.L000106.A3D*
Sequence:
UGACAGAAGAGAGUGAGCACA
Description:
MIR156 putative
Species:
决明
  Species latin name:
Senna tora
TCM Name:
TCM Resource (Sample number):
决明子(1)
Predicted by
Mirnovo
:
-
Evidence support:
Mirbase
Experimental status:
Not yet
Homologs
miRBase Homologs
bna-miR156a
;
hvu-miR156a
;
hvu-miR156b
;
rco-miR156a
;
rco-miR156b
;
rco-miR156c
;
rco-miR156d
;
ssl-miR156
;
ssp-miR156
;
tae-miR156
;
Bencao Homologs
Bjl-miR156b
;
apl-miR156b
;
gsi-miR156
;
por-miR156c
;
sch-miR156e
;
sto-miR156d
;
Rfam Alignments
>> mir-156  mir-156 microRNA precursor
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) ?     0.035   17.0   0.0  cm        2       22 ~~           1          21 + ~~ 1.00 5'&3' 0.48
                                                              ????????????????????        NC
                                                         ~~~~~<<<<<<<<<<<<<<<<<<<<-~~~~~~ CS
                                              mir-156  1 <[1]*uGACaGaaGAGaGUGAGCACA*[66]> 88
                                                              UGACAGAAGAGAGUGAGCACA
                                          sto-miR156d  1 <[0]*UGACAGAAGAGAGUGAGCACA*[ 0]> 21
                                                         .....*********************...... PP
Targets
Predicted by TargetFinder
NM_001042704
;  
NM_001163771
;  
NM_001257139
;  
NM_001308142
;  
NM_001318915
;  
NM_001348091
;  
NM_001365411
;  
NM_001365412
;  
NM_001365413
;  
NM_001365414
;  
NM_001447
;  
NM_002338
;  
NM_004070
;  
NM_014048
;  
NM_016946
;  
NM_018958
;  
NM_024743
;  
NM_080679
;  
NM_080680
;  
NM_080681
;  
NR_024010
;  
Predicted by TAPIR
NM_001042704
;  
NM_001257139
;  
NM_001348091
;  
NM_004070
;  
NM_005199
;  
NM_006877
;  
NM_016946
;  
NM_018958
;  
NM_020546
;  
NR_026928
;