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
miR156
sch-miR156f
Accession:
B60160027
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
sch-miR156f
Alias:
F831.L000084.A3D
Sequence:
UUGACAGAAGAGAGUGAGCAC
Description:
MIR156 putative
Species:
阴行草
  Species latin name:
Siphonostegia chinensis
TCM Name:
Beiliujinu(北刘寄奴)
TCM Resource (Sample number):
北刘寄奴(1)
Predicted by
Mirnovo
:
-
Evidence support:
Mirbase|infernal
Experimental status:
Not yet
Homologs
miRBase Homologs
fve-miR156a
;
fve-miR156b
;
fve-miR156c
;
fve-miR156e
;
gma-miR156k
;
gma-miR156n
;
gma-miR156o
;
Bencao Homologs
Bjl-miR156c
;
aha-miR156b
;
aox-miR156a
;
apl-miR156c
;
cit-miR156c
;
cmd-miR156c
;
cof-miR156c
;
csp-miR156b
;
dst-miR156b
;
gpe-miR156c
;
pvl-miR156e
;
sch-miR156f
;
sto-miR156g
;
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) !    0.0037   20.6   0.0  cm        1       21 [~           1          21 + [~ 1.00    3' 0.48
                                                        ?????????????????????       NC
                                                        <<<<<<<<<<<<<<<<<<<<<~~~~~~ CS
                                             mir-156  1 guGACaGaaGAGaGUGAGCAC*[67]> 88
                                                         UGACAGAAGAGAGUGAGCAC
                                         sto-miR156g  1 UUGACAGAAGAGAGUGAGCAC*[ 0]> 21
                                                        *********************...... PP
Targets
Predicted by TargetFinder
NM_000085
;  
NM_000477
;  
NM_001012414
;  
NM_001042704
;  
NM_001165945
;  
NM_001167580
;  
NM_001257139
;  
NM_001323031
;  
NM_001323032
;  
NM_001323033
;  
NM_001323034
;  
NM_001323036
;  
NM_001323037
;  
NM_001323038
;  
NM_001323039
;  
NM_001323040
;  
NM_004070
;  
NM_014848
;  
NM_020546
;  
NM_033121
;  
NR_002216
;  
Predicted by TAPIR
NM_000477
;  
NM_001042704
;  
NM_001165945
;  
NM_001166242
;  
NM_001167580
;  
NM_001257139
;  
NM_001323031
;  
NM_001323032
;  
NM_001323033
;  
NM_001323034
;  
NM_001323036
;  
NM_001323037
;  
NM_001323038
;  
NM_001323039
;  
NM_001323040
;  
NM_004070
;  
NM_014848
;  
NM_020546
;  
NM_173793
;  
NR_002216
;