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
miR1
cfe-miR1v
Accession:
B15579695
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
cfe-miR1v
Alias:
F31794.K000234.A11
Sequence:
UGGAAUGUAAAGAAGUAUGA
Description:
mir-1 microRNA precursor family predicted,partially
Species:
脱皮马勃
  Species latin name:
Calvatia fenzlii
TCM Name:
Mabo(马勃)
TCM Resource (Sample number):
马勃(1)
Predicted by
Mirnovo
:
-
Evidence support:
Infernal
Experimental status:
Not yet
Homologs
miRBase Homologs
None
Bencao Homologs
asc-miR1s
;
cci-miR1q
;
cfe-miR1v
;
cit-miR1bu
;
cmd-miR1bh
;
hcr-miR1bd
;
ljp-miR1o
;
poe-miR1bl
;
sor-miR1br
;
tch-miR1bc
;
Rfam Alignments
>> mir-1  mir-1 microRNA precursor family
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !     0.008   19.4   0.0  cm       49       67 ~.           1          19 + ~. 1.00    5' 0.32
                               ??? ??????????????? NC
                         ~~~~~~>>>->>>>>>>>>>>>>>> CS
                mir-1 11 <[38]*UGGAAUgUAAaGAAGuAUG 67
                               UGGAAUGUAAAGAAGUAUG
           tch-miR1bc  1 <[ 0]*UGGAAUGUAAAGAAGUAUG 19
                         ......******************* PP
Targets
Predicted by TargetFinder
NM_000277
;  
NM_000721
;  
NM_000855
;  
NM_001002860
;  
NM_001025068
;  
NM_001025069
;  
NM_001039111
;  
NM_001100829
;  
NM_001145373
;  
NM_001201477
;  
NM_001205293
;  
NM_001205294
;  
NM_001256424
;  
NM_001267616
;  
NM_001267618
;  
NM_001289133
;  
NM_001349476
;  
NM_001349477
;  
NM_001349478
;  
NM_001349479
;  
NM_001354304
;  
NM_001365454
;  
NM_004852
;  
NM_005562
;  
NM_006789
;  
NM_018092
;  
NM_018984
;  
NM_020207
;  
NM_052958
;  
NM_153700
;  
NM_198399
;  
NR_038444
;  
NR_110150
;  
NR_110151
;  
NR_146078
;  
NR_146186
;  
NR_146187
;  
NR_146455
;  
NR_146713
;  
Predicted by TAPIR
NM_000277
;  
NM_001002860
;  
NM_001161560
;  
NM_001161561
;  
NM_001161562
;  
NM_001161563
;  
NM_001161564
;  
NM_001161565
;  
NM_001161566
;  
NM_001276277
;  
NM_001281471
;  
NM_001289133
;  
NM_001345871
;  
NM_001345872
;  
NM_001345873
;  
NM_001345874
;  
NM_001345875
;  
NM_001345876
;  
NM_001345877
;  
NM_001345878
;  
NM_001349476
;  
NM_001349477
;  
NM_001349478
;  
NM_001349479
;  
NM_001354304
;  
NM_005562
;  
NM_015028
;  
NM_015216
;  
NM_052958
;  
NM_133448
;  
NM_153700
;  
NM_175872
;  
NR_027106
;  
NR_146078
;  
NR_146186
;  
NR_146187
;  
NR_146713
;