The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR30
  5. zof-miR30bd

Accession: B70926269

Entry

ID: zof-miR30bd
Alias: F6772.M000061.A25*
Sequence: UGUAAACAUCCUCGACUGGAAG
Description: mir-30 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) 炮姜(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR30bl; Bswzz-miR30m; acr-miR30r; asc-miR30ba; bca-miR30at; bch-miR30at; bhi-miR30at; bpi-miR30h; cas-miR30e; cba-miR30l; cci-miR30ay; cfe-miR30bf; cit-miR30fg; cmd-miR30ca; cof-miR30r; cso-miR30e; csp-miR30q; csu-miR30o; eja-miR30h; epr-miR30n; esn-miR30l; fmu-miR30av; gel-miR30i; hcr-miR30bp; kga-miR30e; lba-miR30f; ljc-miR30f; lji-miR30j; ljp-miR30av; nte-miR30j; pfr-miR30k; poe-miR30cr; ppr-miR30au; sar-miR30m; sbc-miR30h; sca-miR30b; sch-miR30i; sdf-miR30u; sdi-miR30c; sgi-miR30aq; sln-miR30k; sor-miR30fc; tfa-miR30j; tki-miR30bc; vph-miR30ar; zof-miR30bd;

Rfam Alignments

>> mir-30  mir-30 microRNA precursor
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   0.00016   26.2   0.0  cm        1       22 [~           1          22 + [~ 1.00    3' 0.45
                                                        ??????????  ?????????       NC
                                                       :<<<<<<<<<<--<<<<<<<<<~~~~~~ CS
                                             mir-30  1 UGuAAACAUCcUcGACuGgaAG*[38]> 60
                                                       UGUAAACAUCCUCGACUGGAAG
                                        zof-miR30bd  1 UGUAAACAUCCUCGACUGGAAG*[ 0]> 22
                                                       **********************...... PP

Targets

Predicted by TargetFinder

NR_034130 ;  

Predicted by TAPIR

NM_001145901 ;   NR_029846 ;