The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR167
  5. sto-miR167d

Accession: B65292047

Entry

ID: sto-miR167d
Alias: F122.M000017.A3D
Sequence: UGAAGCUGCCAGCAUGAUCUGA
Description: MIR167 putative
Species: 决明  Species latin name: Senna tora
TCM Name:
TCM Resource (Sample number): 决明子(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

aof-miR167b; ata-miR167b-5p; ata-miR167d-5p; bdi-miR167c-5p; bdi-miR167d-5p; bdi-miR167e-5p; bdi-miR167g; ccl-miR167a; ccl-miR167b; cpa-miR167d; ctr-miR167; eun-miR167a-5p; gma-miR167g; mes-miR167d; mes-miR167e; mes-miR167f; ppe-miR167c; vca-miR167a-5p; vca-miR167b-5p;

Bencao Homologs

Bjl-miR167d; ave-miR167c; cci-miR167; ccs-miR167b; cit-miR167b; cmd-miR167c; cri-miR167; csp-miR167c; ehu-miR167d; gja-miR167b; gpe-miR167a; gsi-miR167b; hcr-miR167e; hmu-miR167b; ili-miR167; mpu-miR167; nnu-miR167d; poe-miR167d; pvl-miR167d; rcr-miR167b; sba-miR167b; sbc-miR167; sch-miR167c; sgl-miR167b; sor-miR167c; sto-miR167d; tmo-miR167c;

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) !     7e-05   24.8   0.0  cm       14       35 ~~           1          22 + ~~ 1.00 5'&3' 0.50
                                                                ??? ?????  ??????????        NC
                                                          ~~~~~~<<<-<<<<<--<<<<<<<<<<_~~~~~~ CS
                                              MIR167_1  1 <[13]*UGAAGCUGCCAGCAUGAuCUgg*[95]> 130
                                                                UGAAGCUGCCAGCAUGAUCUG+
                                           tmo-miR167c  1 <[ 0]*UGAAGCUGCCAGCAUGAUCUGA*[ 0]> 22
                                                          ......**********************...... PP

Targets

Predicted by TargetFinder

NM_001005751 ;   NM_001291398 ;   NM_001300754 ;   NM_001300756 ;   NM_001307960 ;   NM_001308026 ;   NM_001330102 ;   NM_001370199 ;   NM_001370200 ;   NM_001370201 ;   NM_001370202 ;   NM_001370203 ;   NM_001370204 ;   NM_001370205 ;   NM_001370206 ;   NM_001370207 ;   NM_001370528 ;   NM_021035 ;   NM_025141 ;   NM_078474 ;   NM_178833 ;   NM_198859 ;   NR_040066 ;   NR_040067 ;   NR_040068 ;   NR_040069 ;   NR_040070 ;   NR_120673 ;   NR_121624 ;  

Predicted by TAPIR

NM_001005751 ;   NM_001024845 ;   NM_001142641 ;   NM_001261380 ;   NM_001291398 ;   NM_001300754 ;   NM_001300756 ;   NM_001307960 ;   NM_001308026 ;   NM_001328626 ;   NM_001328627 ;   NM_001328628 ;   NM_001328629 ;   NM_001328630 ;   NM_001330102 ;   NM_001346743 ;   NM_001346744 ;   NM_001367871 ;   NM_001370199 ;   NM_001370200 ;   NM_001370201 ;   NM_001370202 ;   NM_001370203 ;   NM_001370204 ;   NM_001370205 ;   NM_001370206 ;   NM_001370207 ;   NM_001370528 ;   NM_006934 ;   NM_021035 ;   NM_025141 ;   NM_078474 ;   NM_175709 ;   NM_178833 ;   NM_198859 ;   NM_201649 ;   NR_040066 ;   NR_040067 ;   NR_040068 ;   NR_040069 ;   NR_040070 ;   NR_048548 ;   NR_120673 ;   NR_121624 ;