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
miR146
Bjl-miR146s
Accession:
B72212541
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
Bjl-miR146s
Alias:
F58447.K000031.A25
Sequence:
UGAGAACUGAAUUCCAUGGA
Description:
microRNA mir-146 predicted
Species:
焦榔
  Species latin name:
-
TCM Name:
TCM Resource (Sample number):
焦榔(1)
Predicted by
Mirnovo
:
-
Evidence support:
Infernal
Experimental status:
Not yet
Homologs
miRBase Homologs
None
Bencao Homologs
None
Rfam Alignments
>> mir-146  microRNA mir-146
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0028   19.9   0.0  cm       16       35 ~~           1          20 + ~~ 1.00 5'&3' 0.40
                                                               ????????       ???       NC
                                                       ~~~~~~--<<<<<<<<-------<<<~~~~~~ CS
                                            mir-146  1 <[15]*UGAGAACUGAAUUCCAUgGg*[55]> 90
                                                             UGAGAACUGAAUUCCAUGG
                                        Bjl-miR146s  1 <[ 0]*UGAGAACUGAAUUCCAUGGA*[ 0]> 20
                                                       ......********************...... PP
Targets
Predicted by TargetFinder
NM_001003674
;  
NM_001003675
;  
NM_001039960
;  
NM_001198950
;  
NM_001258401
;  
NM_001271052
;  
NM_001276249
;  
NM_001276251
;  
NM_001290223
;  
NM_001330242
;  
NM_001330243
;  
NM_001353575
;  
NM_001354045
;  
NM_001354431
;  
NM_001354432
;  
NM_001365596
;  
NM_001365597
;  
NM_001365598
;  
NM_001365599
;  
NM_001365600
;  
NM_001365601
;  
NM_001365602
;  
NM_001365603
;  
NM_001365604
;  
NM_001365605
;  
NM_001380
;  
NM_013302
;  
NM_013447
;  
NM_014023
;  
NM_015011
;  
NM_015483
;  
NM_017892
;  
NM_024560
;  
NM_032109
;  
NM_181481
;  
NM_181482
;  
NM_207363
;  
NR_024157
;  
NR_034027
;  
NR_034130
;  
NR_038216
;  
NR_038217
;  
NR_038218
;  
NR_038219
;  
NR_110828
;  
NR_134653
;  
NR_148462
;  
NR_148463
;  
NR_148464
;  
NR_148465
;  
Predicted by TAPIR
NM_001172681
;  
NM_001172682
;  
NM_001206616
;  
NM_001256369
;  
NM_001267036
;  
NM_001267037
;  
NM_001318124
;  
NM_001318125
;  
NM_001353575
;  
NM_001354045
;  
NM_001365803
;  
NM_001365805
;  
NM_003309
;  
NM_006641
;  
NM_012244
;  
NM_014023
;  
NM_014455
;  
NM_015110
;  
NM_015483
;  
NM_031200
;  
NM_032109
;  
NM_032562
;  
NM_152320
;  
NM_182728
;  
NM_207363
;  
NR_024157
;  
NR_024628
;  
NR_024629
;  
NR_027708
;  
NR_027709
;  
NR_034130
;  
NR_049767
;  
NR_134653
;  
NR_148462
;  
NR_148463
;  
NR_148464
;  
NR_148465
;