The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR159
  5. gma-miR159am

Accession: B34016913

Entry

ID: gma-miR159am
Alias: F279.K000203.A11
Sequence: UGGACUGAAGGGAGCUCCUU
Description: microRNA MIR159 predicted
Species: 大豆  Species latin name: Glycine max
TCM Name: Dadouhuangjuan(大豆黄卷)   Dandouchi(淡豆豉)   Heidou(黑豆)  
TCM Resource (Sample number): 大豆黄卷(1) 淡豆豉(1) 黑豆(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

cco-miR159ar; gma-miR159am; lpu-miR159av; rcr-miR159aq; ssu-miR159i; vum-miR159j;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0022   18.7   0.0  cm      166      185 ~~           1          20 + ~~ 1.00 5'&3' 0.55
                     ???????  ????????          NC
              ~~~~~~~>>>>>>>-->>>>>>>>:::~~~~~~ CS
   MIR159   1 <[165]*UGGAcuGAAGGGAGCUCCuu*[11]> 196
                     UGGACUGAAGGGAGCUCCUU
vum-miR159j   1 <[  0]*UGGACUGAAGGGAGCUCCUU*[ 0]> 20
              .......********************...... PP

Targets

Predicted by TargetFinder

NM_001024216 ;   NM_001040147 ;   NM_001040217 ;   NM_001144994 ;   NM_001166347 ;   NM_001166348 ;   NM_001166349 ;   NM_001171740 ;   NM_001171741 ;   NM_001243540 ;   NM_001243541 ;   NM_001261830 ;   NM_001261831 ;   NM_001321920 ;   NM_001321922 ;   NM_001321923 ;   NM_001350151 ;   NM_003784 ;   NM_012118 ;   NM_014906 ;   NM_015603 ;   NM_016210 ;   NM_017556 ;   NM_020447 ;   NM_020697 ;   NM_024923 ;   NM_033071 ;   NM_173626 ;   NM_201286 ;   NM_206839 ;   NR_003682 ;   NR_024153 ;   NR_024628 ;   NR_024629 ;   NR_027708 ;   NR_027709 ;   NR_048561 ;   NR_135841 ;   NR_135842 ;   NR_135843 ;   NR_135844 ;   NR_135845 ;   NR_135846 ;   NR_135847 ;   NR_135848 ;   NR_135849 ;   NR_135850 ;   NR_135851 ;   NR_135852 ;   NR_135853 ;   NR_135854 ;  

Predicted by TAPIR

NM_001024216 ;   NM_001040217 ;   NM_001143984 ;   NM_001166347 ;   NM_001166348 ;   NM_001166349 ;   NM_001171740 ;   NM_001243540 ;   NM_001276418 ;   NM_001319035 ;   NM_001321922 ;   NM_001321923 ;   NM_003076 ;   NM_007110 ;   NM_014866 ;   NM_014979 ;   NM_015603 ;   NM_016210 ;   NM_017556 ;   NM_139071 ;   NM_173626 ;   NM_175732 ;   NM_182961 ;   NM_201286 ;   NR_003682 ;   NR_135841 ;   NR_135842 ;   NR_135843 ;   NR_135844 ;   NR_135846 ;   NR_135847 ;   NR_135848 ;   NR_135849 ;   NR_135850 ;   NR_135851 ;   NR_135852 ;   NR_135853 ;   NR_135854 ;   NR_158193 ;