The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR167
  5. pas-miR167b

Accession: B49892156

Entry

ID: pas-miR167b
Alias: F123.K001498.A3D
Sequence: UGAAGCUGCCAGCAUGAUCU
Description: MIR167 putative
Species: 车前  Species latin name: Plantago asiatica
TCM Name: Cheqianzi(车前子)   Cheqiancao(车前草)  
TCM Resource (Sample number): 车前子(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

bna-miR167d; fve-miR167a; fve-miR167b; fve-miR167c; gma-miR167l; lja-miR167a; lja-miR167b; lja-miR167c; mes-miR167b;

Bencao Homologs

Bjl-miR167f; Bsr-miR167; aha-miR167d; apl-miR167f; ath-miR167b; ave-miR167d; bca-miR167c; cco-miR167g; cit-miR167d; dst-miR167h; efo-miR167c; ehu-miR167f; eja-miR167d; est-miR167d; gbi-miR167d; gma-miR167c; gpe-miR167b; gsi-miR167d; hcr-miR167f; iba-miR167c; ini-miR167b; lba-miR167b; ljp-miR167b; llc-miR167c; lpu-miR167e; mca-miR167f; mch-miR167c; nnu-miR167f; nte-miR167c; pas-miR167b; pav-miR167c; pcl-miR167c; pcn-miR167e; pfr-miR167d; pmu-miR167c; poe-miR167f; por-miR167f; pvl-miR167f; rch-miR167d; sba-miR167c; sch-miR167e; sdi-miR167d; smi-miR167f; sto-miR167f; tci-miR167e; vum-miR167f;

Rfam Alignments

>> MIR167_1  microRNA MIR167_1
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   0.00018   23.3   0.0  cm       14       33 ~~           1          20 + ~~ 1.00 5'&3' 0.50
                                                               ??? ?????  ?????????       NC
                                                         ~~~~~~<<<-<<<<<--<<<<<<<<<~~~~~~ CS
                                             MIR167_1  1 <[13]*UGAAGCUGCCAGCAUGAuCU*[97]> 130
                                                               UGAAGCUGCCAGCAUGAUCU
                                          vum-miR167f  1 <[ 0]*UGAAGCUGCCAGCAUGAUCU*[ 0]> 20
                                                         ......********************...... PP

Targets

Predicted by TargetFinder

NM_000236 ;   NM_001005176 ;   NM_001005751 ;   NM_001018057 ;   NM_001114118 ;   NM_001159770 ;   NM_001166131 ;   NM_001197244 ;   NM_001198773 ;   NM_001198774 ;   NM_001198775 ;   NM_001278451 ;   NM_001278452 ;   NM_001278453 ;   NM_001278651 ;   NM_001291398 ;   NM_001300754 ;   NM_001300756 ;   NM_001301061 ;   NM_001307960 ;   NM_001308026 ;   NM_001317930 ;   NM_001321538 ;   NM_001321539 ;   NM_001330102 ;   NM_001330220 ;   NM_001330332 ;   NM_001330504 ;   NM_001330721 ;   NM_001352691 ;   NM_001352692 ;   NM_001352693 ;   NM_001369623 ;   NM_001369624 ;   NM_001369625 ;   NM_001369626 ;   NM_001369628 ;   NM_001369629 ;   NM_001370199 ;   NM_001370200 ;   NM_001370201 ;   NM_001370202 ;   NM_001370203 ;   NM_001370204 ;   NM_001370205 ;   NM_001370206 ;   NM_001370207 ;   NM_001370528 ;   NM_001707 ;   NM_002651 ;   NM_002883 ;   NM_007237 ;   NM_013253 ;   NM_015078 ;   NM_015881 ;   NM_019109 ;   NM_021035 ;   NM_025141 ;   NM_078474 ;   NM_139177 ;   NM_152463 ;   NM_153000 ;   NM_172364 ;   NM_178833 ;   NM_182557 ;   NM_198859 ;   NM_199280 ;   NR_024248 ;   NR_036682 ;   NR_038253 ;   NR_038254 ;   NR_038255 ;   NR_040066 ;   NR_040067 ;   NR_040068 ;   NR_040069 ;   NR_040070 ;   NR_046417 ;   NR_105001 ;   NR_110089 ;   NR_120673 ;   NR_121624 ;   NR_121680 ;   NR_136885 ;  

Predicted by TAPIR

NM_000157 ;   NM_000236 ;   NM_001005176 ;   NM_001005741 ;   NM_001005742 ;   NM_001005751 ;   NM_001024843 ;   NM_001024845 ;   NM_001033518 ;   NM_001109977 ;   NM_001159397 ;   NM_001159398 ;   NM_001159770 ;   NM_001162501 ;   NM_001165412 ;   NM_001166017 ;   NM_001166131 ;   NM_001171812 ;   NM_001178009 ;   NM_001197244 ;   NM_001242412 ;   NM_001247996 ;   NM_001261380 ;   NM_001278451 ;   NM_001278452 ;   NM_001278453 ;   NM_001286741 ;   NM_001291398 ;   NM_001301061 ;   NM_001307960 ;   NM_001308026 ;   NM_001318392 ;   NM_001319226 ;   NM_001320100 ;   NM_001321072 ;   NM_001321073 ;   NM_001321538 ;   NM_001321539 ;   NM_001321981 ;   NM_001328626 ;   NM_001328627 ;   NM_001328628 ;   NM_001328629 ;   NM_001328630 ;   NM_001330102 ;   NM_001330332 ;   NM_001330504 ;   NM_001346743 ;   NM_001346744 ;   NM_001348694 ;   NM_001352691 ;   NM_001352692 ;   NM_001352693 ;   NM_001354006 ;   NM_001354007 ;   NM_001354008 ;   NM_001354009 ;   NM_001354010 ;   NM_001354012 ;   NM_001354014 ;   NM_001354015 ;   NM_001362924 ;   NM_001362925 ;   NM_001362926 ;   NM_001364170 ;   NM_001367493 ;   NM_001370528 ;   NM_001371910 ;   NM_001371911 ;   NM_001707 ;   NM_003998 ;   NM_006609 ;   NM_006934 ;   NM_007237 ;   NM_015088 ;   NM_015320 ;   NM_018482 ;   NM_019109 ;   NM_020731 ;   NM_020880 ;   NM_022492 ;   NM_025141 ;   NM_032329 ;   NM_033315 ;   NM_052938 ;   NM_078474 ;   NM_139177 ;   NM_145061 ;   NM_152463 ;   NM_153000 ;   NM_153833 ;   NM_172364 ;   NM_175709 ;   NM_198859 ;   NM_199280 ;   NM_201649 ;   NR_002188 ;   NR_015406 ;   NR_024248 ;   NR_026963 ;   NR_027749 ;   NR_036682 ;   NR_038253 ;   NR_038254 ;   NR_038255 ;   NR_040018 ;   NR_040019 ;   NR_046417 ;   NR_048548 ;   NR_105001 ;   NR_110089 ;   NR_120673 ;   NR_121624 ;   NR_121680 ;   NR_135147 ;   NR_136885 ;   NR_148682 ;