The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR27
  5. sor-miR27bh

Accession: B63102448

Entry

ID: sor-miR27bh
Alias: F15151.K000042.A25
Sequence: UUCACAGUGGCUAAGUUCCG
Description: microRNA mir-27 predicted
Species: 豨莶  Species latin name: Sigesbeckia orientalis
TCM Name: Xixiancao(豨莶草)  
TCM Resource (Sample number): 豨莶草(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR27i; Bswzz-miR27c; acr-miR27c; asc-miR27f; bca-miR27i; bch-miR27i; bhi-miR27b; bpi-miR27f; cci-miR27e; cfe-miR27j; cit-miR27bj; cmd-miR27ap; cmi-miR27c; cof-miR27e; csp-miR27c; csu-miR27c; esn-miR27b; fmu-miR27d; gel-miR27d; hcr-miR27ap; kga-miR27c; ljp-miR27e; llu-miR27e; pfr-miR27b; poe-miR27ar; ppr-miR27f; pvl-miR27f; sar-miR27c; sch-miR27e; sdf-miR27d; sgi-miR27e; sor-miR27bh; tch-miR27e; tki-miR27d; vph-miR27e; zof-miR27g;

Rfam Alignments

>> mir-27  microRNA mir-27
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0014   20.3   0.0  cm       56       75 ~~           1          20 + ~~ 1.00 5'&3' 0.50
                                                               ?????  ???????????        NC
                                                         ~~~~~~>>>>>-->>>>>>>>>>>::~~~~~ CS
                                               mir-27  1 <[55]*uUCACAGuGGCUAAGuuCuG*[8]> 83
                                                               UUCACAGUGGCUAAGUUC+G
                                           zof-miR27g  1 <[ 0]*UUCACAGUGGCUAAGUUCCG*[0]> 20
                                                         ......********************..... PP

Targets

Predicted by TargetFinder

NM_001079524 ;   NM_001079525 ;   NM_001131019 ;   NM_001204416 ;   NM_001204419 ;   NM_001204420 ;   NM_001204423 ;   NM_001204424 ;   NM_001242376 ;   NM_001278196 ;   NM_001363846 ;   NM_001370270 ;   NM_001370271 ;   NM_001370272 ;   NM_001370273 ;   NM_001370274 ;   NM_001370275 ;   NM_001370276 ;   NM_001370277 ;   NM_001370278 ;   NM_001370279 ;   NM_001370280 ;   NM_001370282 ;   NM_001370283 ;   NM_001370284 ;   NM_001370286 ;   NM_001370287 ;   NM_001370288 ;   NM_001370289 ;   NM_001370290 ;   NM_001370291 ;   NM_001370292 ;   NM_001370293 ;   NM_001370294 ;   NM_002055 ;   NM_004296 ;   NM_004466 ;   NM_006352 ;   NM_006452 ;   NM_012072 ;   NM_021916 ;   NM_205768 ;   NR_104614 ;   NR_104615 ;   NR_135235 ;  

Predicted by TAPIR

NM_001204416 ;   NM_001204419 ;   NM_001204420 ;   NM_001204423 ;   NM_001204424 ;   NM_001278196 ;   NM_001321042 ;   NM_001365951 ;   NM_001365952 ;   NM_001370270 ;   NM_001370271 ;   NM_001370272 ;   NM_001370273 ;   NM_001370274 ;   NM_001370275 ;   NM_001370276 ;   NM_001370277 ;   NM_001370278 ;   NM_001370279 ;   NM_001370280 ;   NM_001370282 ;   NM_001370283 ;   NM_001370284 ;   NM_001370286 ;   NM_001370287 ;   NM_001370288 ;   NM_001370289 ;   NM_001370290 ;   NM_001370291 ;   NM_001370292 ;   NM_001370293 ;   NM_001370294 ;   NM_004296 ;   NM_004466 ;   NM_006352 ;   NM_007364 ;   NM_015074 ;   NM_021916 ;   NM_205768 ;   NR_003503 ;   NR_026961 ;   NR_028597 ;   NR_125394 ;   NR_135235 ;