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)
Home(首页)
Medicine(中药)
OmicsAtlas(组学地图)
Tools(工具)
Target prediction tools
About(关于)
OmicsAtlas
TranscriptomeAtlas
miRNA Atlas
miR133
asc-miR133a
Accession:
B08304190
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
asc-miR133a
Alias:
F1236.L000006.A11*
Sequence:
UGGUCCCCUUCAACCAGCUGU
Description:
mir-133 microRNA precursor family predicted,partially
Species:
猪毛蒿
  Species latin name:
Artemisia scoparia
TCM Name:
Yinchen(茵陈)
TCM Resource (Sample number):
茵陈(2)
Predicted by
Mirnovo
:
-
Evidence support:
Infernal
Experimental status:
Not yet
Homologs
miRBase Homologs
None
Bencao Homologs
Bswzz-miR133a
;
asc-miR133a
;
bpi-miR133af
;
cfe-miR133b
;
cit-miR133af
;
cmd-miR133ac
;
cmi-miR133d
;
hcr-miR133ah
;
ili-miR133a
;
lgr-miR133a
;
poe-miR133ac
;
sch-miR133a
;
sor-miR133af
;
tch-miR133ac
;
zof-miR133b
;
Rfam Alignments
>> mir-133  mir-133 microRNA precursor family
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   0.00018   22.5   0.0  cm       53       73 ~~           1          21 + ~~ 1.00 5'&3' 0.57
                   ????     ?? ???????         NC
             ~~~~~~>>>>----->>->>>>>>>--~~~~~~ CS
  mir-133  1 <[52]*UGGUCCCCUUCAACCAGCuGU*[14]> 87
                   UGGUCCCCUUCAACCAGCUGU
zof-miR133b  1 <[ 0]*UGGUCCCCUUCAACCAGCUGU*[ 0]> 21
             ......*********************...... PP
Targets
Predicted by TargetFinder
NM_001145153
;  
NM_001297669
;  
NM_001297670
;  
NM_001349316
;  
NM_001349319
;  
NM_001349320
;  
NM_001349321
;  
NM_001349322
;  
NM_001349323
;  
NM_001349324
;  
NM_001349325
;  
NM_001349326
;  
NM_001364885
;  
NM_002737
;  
NM_007037
;  
NM_012157
;  
NM_022744
;  
NM_025081
;  
NM_144649
;  
NR_038883
;  
NR_134559
;  
NR_146121
;  
NR_146122
;  
NR_146123
;  
NR_146124
;  
NR_146125
;  
NR_146126
;  
NR_146127
;  
NR_146128
;  
NR_146129
;  
NR_146130
;  
NR_146131
;  
NR_146132
;  
NR_146133
;  
NR_146134
;  
NR_146135
;  
Predicted by TAPIR
NM_001102
;  
NM_001130004
;  
NM_001130005
;  
NM_001205262
;  
NM_001256141
;  
NM_001297669
;  
NM_001297670
;  
NM_001297671
;  
NM_001297672
;  
NM_001349316
;  
NM_001349319
;  
NM_001349321
;  
NM_001349322
;  
NM_001349323
;  
NM_001349324
;  
NM_001349325
;  
NM_001364885
;  
NM_003278
;  
NM_012157
;  
NM_015149
;  
NM_022744
;  
NM_025081
;  
NM_032442
;  
NR_038883
;  
NR_134559
;  
NR_146123
;  
NR_146126
;  
NR_146130
;  
NR_146131
;  
NR_146132
;  
NR_146133
;  
NR_146134
;  
NR_146135
;