The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR159
  5. aan-miR159f

Accession: B00002977

Entry

ID: aan-miR159f
Alias: F30.J000006.A25
Sequence: UGGACUGAAGGGAGCUCCC
Description: microRNA MIR159 predicted
Species: 黄花蒿  Species latin name: Artemisia annua
TCM Name: Qinghao(青蒿)  
TCM Resource (Sample number): 青蒿(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

aan-miR159f; aha-miR159f; ala-miR159h; apl-miR159al; asc-miR159c; bca-miR159g; bch-miR159g; bmj-miR159f; cco-miR159ah; ccs-miR159ah; dst-miR159j; est-miR159g; gmc-miR159f; hcr-miR159f; ili-miR159e; ljn-miR159e; lpu-miR159ai; pav-miR159ai; por-miR159al; psu-miR159ah; pvl-miR159ah; rcd-miR159b; rcr-miR159ah; rja-miR159aj; sbc-miR159f; sgl-miR159h; smi-miR159ah; twi-miR159g; zof-miR159d;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0037   17.7   0.0  cm      166      184 ~~           1          19 + ~~ 1.00 5'&3' 0.63
                                                                 ???????  ????????         NC
                                                          ~~~~~~~>>>>>>>-->>>>>>>>::~~~~~~ CS
                                               MIR159   1 <[165]*UGGAcuGAAGGGAGCUCCu*[12]> 196
                                                                 UGGACUGAAGGGAGCUCC+
                                          zof-miR159d   1 <[  0]*UGGACUGAAGGGAGCUCCC*[ 0]> 19
                                                          .......*******************...... PP

Targets

Predicted by TargetFinder

NM_001005407 ;   NM_001010915 ;   NM_001166347 ;   NM_001166348 ;   NM_001166349 ;   NM_001171740 ;   NM_001171741 ;   NM_001193502 ;   NM_001242826 ;   NM_001243540 ;   NM_001243541 ;   NM_001256850 ;   NM_001267550 ;   NM_001278683 ;   NM_001278685 ;   NM_001284292 ;   NM_001284293 ;   NM_001286191 ;   NM_001286192 ;   NM_001286195 ;   NM_001286196 ;   NM_001286197 ;   NM_001286198 ;   NM_001300860 ;   NM_001320766 ;   NM_001321478 ;   NM_001321480 ;   NM_001321883 ;   NM_001321903 ;   NM_001351533 ;   NM_001363943 ;   NM_003076 ;   NM_003319 ;   NM_005445 ;   NM_005785 ;   NM_014829 ;   NM_014906 ;   NM_015565 ;   NM_015603 ;   NM_016183 ;   NM_016201 ;   NM_016210 ;   NM_021098 ;   NM_022895 ;   NM_024923 ;   NM_033208 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_139071 ;   NM_173626 ;   NM_175741 ;   NM_194358 ;   NM_194359 ;   NM_199242 ;   NR_003682 ;   NR_024628 ;   NR_024629 ;   NR_027708 ;   NR_027709 ;   NR_040053 ;   NR_048561 ;   NR_104409 ;   NR_125341 ;   NR_135659 ;   NR_135661 ;  

Predicted by TAPIR

NM_000059 ;   NM_001003712 ;   NM_001005407 ;   NM_001024216 ;   NM_001110556 ;   NM_001143984 ;   NM_001166347 ;   NM_001166348 ;   NM_001166349 ;   NM_001171740 ;   NM_001171741 ;   NM_001205206 ;   NM_001205207 ;   NM_001276418 ;   NM_001278683 ;   NM_001278685 ;   NM_001281987 ;   NM_001284292 ;   NM_001284293 ;   NM_001286191 ;   NM_001286192 ;   NM_001286195 ;   NM_001286196 ;   NM_001286197 ;   NM_001286198 ;   NM_001300860 ;   NM_001319035 ;   NM_001319652 ;   NM_001319653 ;   NM_001352510 ;   NM_001352511 ;   NM_001352512 ;   NM_001363943 ;   NM_001371328 ;   NM_001456 ;   NM_003076 ;   NM_003853 ;   NM_007110 ;   NM_014829 ;   NM_014866 ;   NM_015603 ;   NM_016201 ;   NM_016210 ;   NM_017556 ;   NM_020171 ;   NM_020841 ;   NM_021098 ;   NM_022895 ;   NM_024630 ;   NM_033071 ;   NM_033208 ;   NM_139071 ;   NM_144569 ;   NM_173626 ;   NM_175732 ;   NM_175741 ;   NM_182961 ;   NM_194255 ;   NM_194293 ;   NR_003682 ;   NR_029401 ;   NR_033908 ;   NR_073404 ;   NR_104409 ;   NR_120363 ;   NR_125341 ;   NR_132119 ;   NR_134584 ;   NR_135112 ;   NR_157803 ;   NR_157804 ;