The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR133
  5. sor-miR133cd

Accession: B63094329

Entry

ID: sor-miR133cd
Alias: F12642.N000063.A25
Sequence: UUGGUCCCCUUCAACCAGCUGUU
Description: mir-133 microRNA precursor family predicted,partially
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

acr-miR133e; asc-miR133k; bca-miR133f; bpi-miR133ar; cci-miR133j; cfe-miR133m; cit-miR133cc; cmd-miR133az; cmi-miR133l; eja-miR133b; est-miR133; fsu-miR133e; gel-miR133e; hcr-miR133az; lgr-miR133e; ljp-miR133h; llu-miR133c; nnu-miR133c; poe-miR133az; psu-miR133c; pvl-miR133h; sar-miR133e; sch-miR133i; sdf-miR133e; sln-miR133d; sor-miR133cd; tch-miR133as; tki-miR133b; zof-miR133m;

Rfam Alignments

>> mir-133  mir-133 microRNA precursor family
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   7.4e-05   23.9   0.0  cm       52       73 ~.           1          22 + ~. 1.00    5' 0.55
                                                                 ?????     ?? ???????   NC
                                                           ~~~~~~>>>>>----->>->>>>>>>-- CS
                                                mir-133 14 <[38]*uUGGUCCCCUUCAACCAGCuGU 73
                                                                 UUGGUCCCCUUCAACCAGCUGU
                                            zof-miR133m  1 <[ 0]*UUGGUCCCCUUCAACCAGCUGU 22
                                                           ......********************** PP

Targets

Predicted by TargetFinder

NM_001145153 ;   NM_001308394 ;   NM_001349316 ;   NM_001349319 ;   NM_001349320 ;   NM_001349321 ;   NM_001349322 ;   NM_001349323 ;   NM_001349324 ;   NM_001349325 ;   NM_001349326 ;   NM_001364885 ;   NM_003278 ;   NM_004853 ;   NM_012157 ;   NM_022744 ;   NM_025081 ;   NM_144649 ;   NR_146121 ;   NR_146122 ;   NR_146123 ;   NR_146124 ;   NR_146125 ;   NR_146126 ;   NR_146127 ;   NR_146128 ;   NR_146129 ;   NR_146130 ;   NR_146131 ;   NR_146132 ;   NR_146133 ;   NR_146134 ;   NR_146135 ;  

Predicted by TAPIR

NM_001145153 ;   NM_001308394 ;   NM_001349316 ;   NM_001349319 ;   NM_001349320 ;   NM_001349321 ;   NM_001349322 ;   NM_001349323 ;   NM_001349324 ;   NM_001349325 ;   NM_001349326 ;   NM_001364885 ;   NM_003278 ;   NM_012157 ;   NM_022744 ;   NM_024791 ;   NM_025081 ;   NM_144649 ;   NR_146121 ;   NR_146122 ;   NR_146123 ;   NR_146124 ;   NR_146125 ;   NR_146126 ;   NR_146127 ;   NR_146128 ;   NR_146129 ;   NR_146130 ;   NR_146131 ;   NR_146132 ;   NR_146133 ;   NR_146134 ;   NR_146135 ;