The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR103
  5. pfr-miR103b

Accession: B52914360

Entry

ID: pfr-miR103b
Alias: F33452.M000052.A25
Sequence: AGCAGCAUUGUACAGGGCUAUG
Description: mir-103/107 microRNA precursor predicted,partially
Species: 紫苏  Species latin name: Perilla frutescens
TCM Name: Zisuzi(紫苏子)   Zisuye(紫苏叶)   Zisugeng(紫苏梗)  
TCM Resource (Sample number): 紫苏子(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR103f; Bswzz-miR103c; acr-miR103c; asc-miR103d; bca-miR103d; bhi-miR103h; bpi-miR103c; cas-miR103c; cba-miR103; cci-miR103d; cfe-miR103d; cit-miR103m; cmd-miR103f; cso-miR103b; csu-miR103b; esn-miR103b; fmu-miR103c; fsu-miR103c; hcr-miR103h; lgr-miR103b; ljp-miR103c; mpu-miR103c; nnu-miR103b; pfr-miR103b; poe-miR103m; ppr-miR103b; sar-miR103b; sdf-miR103b; sdi-miR103b; sgi-miR103c; sor-miR103m; tki-miR103b; zof-miR103d;

Rfam Alignments

>> mir-103  mir-103/107 microRNA precursor
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0034   19.8   0.0  cm       48       69 ~~           1          22 + ~~ 1.00 5'&3' 0.50
                                                              ???????????    ??   ?      NC
                                                       ~~~~~~_>>>>>>>>>>>---->>--->~~~~~ CS
                                            mir-103  1 <[47]*AGCAgCAuUGUACAGGGCUAUg*[9]> 78
                                                             AGCAGCAUUGUACAGGGCUAUG
                                        zof-miR103d  1 <[ 0]*AGCAGCAUUGUACAGGGCUAUG*[0]> 22
                                                       ......**********************..... PP

Targets

Predicted by TargetFinder

NM_001144960 ;   NM_001315505 ;   NM_001315506 ;   NM_001321454 ;   NM_001321458 ;   NM_002180 ;   NM_006764 ;   NR_031721 ;   NR_031722 ;  

Predicted by TAPIR

NM_001144960 ;   NM_001315505 ;   NM_001315506 ;   NM_002180 ;   NM_006764 ;   NR_031721 ;   NR_031722 ;