The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. lin
  5. zof-lin-4a

Accession: B70864633

Entry

ID: zof-lin-4a
Alias: F3081.K000008.A25
Sequence: UCCCUGAGACCCUAACUUGU
Description: lin-4 microRNA precursor predicted,partially
Species: 姜  Species latin name: Zingiber officinale
TCM Name: Ganjiang(干姜)   Paojiang(炮姜)   Shengjiang(生姜)  
TCM Resource (Sample number): 干姜(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-lin-4a; asc-lin-4a; bca-lin-4a; bch-lin-4a; bpi-lin-4a; cfe-lin-4a; cit-lin-4a; cma-lin-4; cmd-lin-4a; cof-lin-4a; csp-lin-4a; csu-lin-4a; esn-lin-4a; fmu-lin-4a; fsu-lin-4a; hcr-lin-4a; lba-lin-4a; ljo-lin-4a; ljp-lin-4a; pfr-lin-4a; poe-lin-4a; pvl-lin-4a; sch-lin-4a; sdf-lin-4a; sgi-lin-4a; sor-lin-4a; tki-lin-4a; vph-lin-4a; zof-lin-4a;

Rfam Alignments

>> lin-4  lin-4 microRNA precursor
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0086   18.2   0.0  cm        7       26 ~~           1          20 + ~~ 1.00 5'&3' 0.50
                                                                 ??? ???? ??? ??????       NC
                                                           ~~~~~-<<<-<<<<-<<<-<<<<<<~~~~~~ CS
                                                  lin-4  1 <[6]*UCCCUGAGACCccAAcuuGU*[45]> 71
                                                                UCCCUGAGACCC AACUUGU
                                             zof-lin-4a  1 <[0]*UCCCUGAGACCCUAACUUGU*[ 0]> 20
                                                           .....********************...... PP

Targets

Predicted by TargetFinder

NM_000394 ;   NM_001005851 ;   NM_001079512 ;   NM_001100598 ;   NM_001100599 ;   NM_001257135 ;   NM_001288805 ;   NM_001288806 ;   NM_001288807 ;   NM_001288808 ;   NM_001288809 ;   NM_001314050 ;   NM_001318873 ;   NM_001320719 ;   NM_001363766 ;   NM_002309 ;   NM_006736 ;   NM_018196 ;   NM_173831 ;   NM_183387 ;   NR_103558 ;   NR_110190 ;   NR_110191 ;   NR_110192 ;   NR_110193 ;  

Predicted by TAPIR

NM_001005851 ;   NM_001040273 ;   NM_001079512 ;   NM_001100599 ;   NM_001122957 ;   NM_001136046 ;   NM_001172775 ;   NM_001257135 ;   NM_001267822 ;   NM_001271926 ;   NM_001277813 ;   NM_001277814 ;   NM_001277815 ;   NM_001277816 ;   NM_001277817 ;   NM_001277818 ;   NM_001288805 ;   NM_001288807 ;   NM_001288808 ;   NM_001288809 ;   NM_001302489 ;   NM_001318873 ;   NM_002309 ;   NM_005881 ;   NM_018196 ;   NM_032265 ;   NM_152758 ;   NM_152791 ;   NM_173555 ;   NM_173831 ;   NM_183387 ;   NR_073580 ;   NR_073581 ;   NR_073582 ;   NR_073591 ;   NR_073592 ;   NR_073593 ;   NR_073594 ;   NR_073595 ;   NR_103558 ;   NR_108100 ;   NR_110190 ;   NR_110191 ;   NR_110192 ;   NR_110193 ;