The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR1
  5. tki-miR1m

Accession: B67967736

Entry

ID: tki-miR1m
Alias: F6947.L000005.A25
Sequence: UGGAAUGUAAGGAAGUGUGUG
Description: mir-1 microRNA precursor family predicted,partially
Species: 栝楼  Species latin name: Trichosanthes kirilowii
TCM Name: Tianhuafen(天花粉)   Gualou(瓜蒌)   Gualouzi(瓜蒌子)   Chaogualouzi(炒瓜蒌子)   Gualoupi(瓜蒌皮)  
TCM Resource (Sample number): 瓜蒌皮(1) 瓜蒌(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR1n; bca-miR1q; bpi-miR1p; car-miR1f; cde-miR1g; cfe-miR1s; cit-miR1bn; cmd-miR1bb; cmi-miR1l; cof-miR1n; csu-miR1o; fsu-miR1h; gel-miR1m; hcr-miR1ay; llu-miR1p; ppr-miR1j; pvl-miR1n; sar-miR1p; sch-miR1p; sgi-miR1h; sor-miR1bk; tch-miR1ax; tki-miR1m;

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) ?      0.01   19.1   0.0  cm       49       69 ~~           1          21 + ~~ 1.00 5'&3' 0.43
                                                               ??? ?????????????????      NC
                                                         ~~~~~~>>>->>>>>>>>>>>>>>>>>~~~~~ CS
                                                mir-1  1 <[48]*UGGAAUgUAAaGAAGuAUGua*[8]> 77
                                                               UGGAAUGUAA GAAGU UGU
                                            tki-miR1m  1 <[ 0]*UGGAAUGUAAGGAAGUGUGUG*[0]> 21
                                                         ......*********************..... PP

Targets

Predicted by TargetFinder

NM_001012267 ;   NM_001112800 ;   NM_001112801 ;   NM_001112802 ;   NM_001197051 ;   NM_001252624 ;   NM_001351483 ;   NM_001351484 ;   NM_001351485 ;   NM_001351486 ;   NM_001351487 ;   NM_001351488 ;   NM_001351489 ;   NM_001351490 ;   NM_001351491 ;   NM_001351492 ;   NM_001351493 ;   NM_001351494 ;   NM_001372263 ;   NM_002240 ;   NM_007028 ;   NM_021097 ;   NM_053023 ;   NM_153442 ;   NR_110547 ;   NR_134870 ;   NR_134871 ;  

Predicted by TAPIR

NM_001012267 ;   NM_001112800 ;   NM_001112801 ;   NM_001112802 ;   NM_001252624 ;   NM_001290224 ;   NM_001351483 ;   NM_001351484 ;   NM_001351485 ;   NM_001351486 ;   NM_001351487 ;   NM_001351488 ;   NM_001351489 ;   NM_001351490 ;   NM_001351491 ;   NM_001351492 ;   NM_001351493 ;   NM_001351494 ;   NM_001372263 ;   NM_005562 ;   NM_006710 ;   NM_021097 ;   NM_199259 ;   NM_199260 ;   NM_199261 ;