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
miR159
gbi-miR159o
Accession:
B33251334
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
gbi-miR159o
Alias:
F14470.L000033.A3D
Sequence:
UUUGGAUUGAAGGGAGCUCUC
Description:
MIR159 putative
Species:
银杏
  Species latin name:
Ginkgo biloba
TCM Name:
Baiguo(白果)
Yinxingye(银杏叶)
TCM Resource (Sample number):
银杏叶(1)
Predicted by
Mirnovo
:
-
Evidence support:
Mirbase|infernal
Experimental status:
Not yet
Homologs
miRBase Homologs
lus-miR159b
;
Bencao Homologs
Bjl-miR159n
;
apl-miR159bl
;
cmd-miR159l
;
gbi-miR159o
;
gma-miR159ay
;
gsi-miR159j
;
lfo-miR159n
;
lpu-miR159bz
;
nnu-miR159be
;
por-miR159bi
;
psu-miR159at
;
rch-miR159ar
;
rja-miR159az
;
sch-miR159j
;
sdi-miR159g
;
Rfam Alignments
>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !     0.002   18.9   0.0  cm      164      184 ~~           1          21 + ~~ 1.00 5'&3' 0.48
                                                                     ???????  ????????         NC
                                                            ~~~~~~~-->>>>>>>-->>>>>>>>::~~~~~~ CS
                                                 MIR159   1 <[163]*uUUGGAcuGAAGGGAGCUCCu*[12]> 196
                                                                   UUUGGA UGAAGGGAGCUC++
                                            sdi-miR159g   1 <[  0]*UUUGGAUUGAAGGGAGCUCUC*[ 0]> 21
                                                            .......*********************...... PP
Targets
Predicted by TargetFinder
NM_001079516
;  
NM_001113490
;  
NM_001143974
;  
NM_001167671
;  
NM_001167672
;  
NM_001195272
;  
NM_001271634
;  
NM_001321957
;  
NM_001321958
;  
NM_001321959
;  
NM_001321960
;  
NM_005444
;  
NM_005544
;  
NM_005578
;  
NM_019893
;  
NM_133265
;  
NM_138694
;  
NM_170724
;  
NR_073390
;  
NR_135904
;  
NR_146089
;  
Predicted by TAPIR
NM_001025356
;  
NM_001113490
;  
NM_001142678
;  
NM_001142679
;  
NM_001195272
;  
NM_001204803
;  
NM_001271634
;  
NM_003967
;  
NM_005444
;  
NM_054107
;  
NM_133265
;  
NM_138694
;  
NM_170724
;  
NR_073390
;  
NR_146089
;