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
miR396
apl-miR396b
Accession:
B07547871
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
apl-miR396b
Alias:
F5.L000064.A3D
Sequence:
UUCCACAGCUUUCUUGAACUU
Description:
MIR396 putative
Species:
龙牙草
  Species latin name:
Agrimonia pilosa
TCM Name:
Xianhecao(仙鹤草)
TCM Resource (Sample number):
仙鹤草(1)
Predicted by
Mirnovo
:
-
Evidence support:
Mirbase|infernal
Experimental status:
Not yet
Homologs
miRBase Homologs
aly-miR396b-5p
;
ama-miR396-5p
;
aqc-miR396b
;
ata-miR396c-5p
;
ath-miR396b-5p
;
atr-miR396b
;
atr-miR396c
;
atr-miR396e
;
bcy-miR396b
;
bdi-miR396e-5p
;
bgy-miR396b
;
bna-miR396a
;
bra-miR396-5p
;
cas-miR396b
;
cca-miR396a-5p
;
ccl-miR396
;
cme-miR396a
;
cme-miR396c
;
cme-miR396d
;
csi-miR396f-5p
;
fve-miR396b-5p
;
gma-miR396b-5p
;
gma-miR396c
;
gma-miR396k-5p
;
lus-miR396b
;
lus-miR396e
;
mdm-miR396c
;
mdm-miR396d
;
mdm-miR396e
;
mes-miR396c
;
mes-miR396d
;
mes-miR396e
;
mes-miR396f
;
mtr-miR396a-5p
;
nta-miR396b
;
nta-miR396c
;
osa-miR396c-5p
;
pab-miR396g
;
pab-miR396h
;
ppe-miR396b
;
pta-miR396
;
ptc-miR396c
;
ptc-miR396d
;
ptc-miR396e-5p
;
rco-miR396
;
sbi-miR396c
;
sly-miR396b
;
stu-miR396-5p
;
tcc-miR396c
;
tcc-miR396e
;
zma-miR396e-5p
;
zma-miR396f-5p
;
Bencao Homologs
Bjl-miR396a
;
Bsr-miR396b
;
aan-miR396c
;
aco-miR396a
;
apa-miR396c
;
apl-miR396b
;
asc-miR396b
;
ave-miR396c
;
bca-miR396b
;
bmj-miR396b
;
bpi-miR396b
;
car-miR396b
;
cas-miR396b
;
cci-miR396b
;
cco-miR396b
;
ccs-miR396b
;
cde-miR396a
;
cfe-miR396b
;
cit-miR396a
;
cja-miR396b
;
cmd-miR396b
;
cmi-miR396c
;
cmj-miR396b
;
cmo-miR396c
;
cof-miR396b
;
cor-miR396a
;
csp-miR396a
;
csu-miR396a
;
dst-miR396b
;
ehu-miR396b
;
eja-miR396b
;
epr-miR396b
;
esn-miR396a
;
est-miR396b
;
fsu-miR396c
;
gbi-miR396b
;
gel-miR396a
;
gja-miR396b
;
gpe-miR396c
;
gsi-miR396b
;
hcr-miR396c
;
hmu-miR396b
;
ili-miR396c
;
lcr-miR396b
;
lfo-miR396b
;
lgr-miR396a
;
ljn-miR396c
;
ljp-miR396b
;
llc-miR396b
;
llu-miR396a
;
mal-miR396c
;
mca-miR396b
;
nja-miR396b
;
nnu-miR396c
;
nte-miR396b
;
pav-miR396b
;
pcl-miR396b
;
pcn-miR396b
;
pfr-miR396b
;
poe-miR396a
;
por-miR396b
;
psu-miR396b
;
pvl-miR396c
;
rch-miR396b
;
rcr-miR396c
;
rja-miR396b
;
sad-miR396a
;
sar-miR396b
;
sba-miR396c
;
sbc-miR396c
;
sch-miR396b
;
sdi-miR396b
;
smi-miR396c
;
sor-miR396a
;
ssa-miR396b
;
ssu-miR396b
;
sto-miR396b
;
tci-miR396b
;
tmo-miR396c
;
vof-miR396b
;
vph-miR396b
;
Rfam Alignments
>> MIR396  microRNA MIR396
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0069   19.7   0.0  cm       11       31 ~~           1          21 + ~~ 1.00 5'&3' 0.38
                                                                   ??? ?????? ???? ???       NC
                                                           ~~~~~~--<<<-<<<<<<-<<<<-<<<~~~~~~ CS
                                                 MIR396  1 <[10]*UUCCACgGCUUUCUUGAACUg*[87]> 118
                                                                 UUCCAC GCUUUCUUGAACU
                                            vph-miR396b  1 <[ 0]*UUCCACAGCUUUCUUGAACUU*[ 0]> 21
                                                           ......*********************...... PP
Targets
Predicted by TargetFinder
NM_001004464
;  
NM_001098398
;  
NM_001098721
;  
NM_001098722
;  
NM_001142929
;  
NM_001142933
;  
NM_001142934
;  
NM_001198542
;  
NM_001198543
;  
NM_001270
;  
NM_001270974
;  
NM_001347701
;  
NM_001347702
;  
NM_001349741
;  
NM_001349742
;  
NM_001349744
;  
NM_001349745
;  
NM_001364113
;  
NM_004371
;  
NM_004405
;  
NM_004485
;  
NM_007118
;  
NM_015114
;  
NM_017558
;  
NM_017905
;  
NM_020549
;  
NM_020984
;  
NM_020985
;  
NM_020986
;  
NM_022739
;  
NM_033071
;  
NM_152726
;  
NM_182961
;  
NM_198976
;  
NM_199131
;  
NR_003082
;  
NR_040013
;  
NR_073430
;  
NR_134469
;  
NR_134515
;  
NR_146221
;  
NR_146222
;  
NR_157078
;  
NR_157079
;  
Predicted by TAPIR
NM_001001556
;  
NM_001009609
;  
NM_001009616
;  
NM_001013626
;  
NM_001042459
;  
NM_001142929
;  
NM_001142933
;  
NM_001142934
;  
NM_001198542
;  
NM_001198543
;  
NM_001198801
;  
NM_001198802
;  
NM_001270974
;  
NM_001286230
;  
NM_001287491
;  
NM_001289030
;  
NM_001301210
;  
NM_001321226
;  
NM_001321231
;  
NM_001347701
;  
NM_001347702
;  
NM_001364910
;  
NM_001364911
;  
NM_001364912
;  
NM_001366022
;  
NM_002044
;  
NM_002568
;  
NM_003760
;  
NM_015114
;  
NM_016132
;  
NM_016448
;  
NM_017558
;  
NM_020549
;  
NM_020984
;  
NM_020985
;  
NM_020986
;  
NM_022739
;  
NM_030940
;  
NM_033071
;  
NM_182909
;  
NM_182961
;  
NM_198976
;  
NM_199131
;  
NR_002826
;  
NR_040013
;  
NR_073430
;  
NR_147895
;