The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR168
  5. apa-miR168b

Accession: B07486452

Entry

ID: apa-miR168b
Alias: F8884.J000018.A3D
Sequence: UCGCUUGGUGCAGGUCGGG
Description: MIR168 putative
Species: 穿心莲  Species latin name: Andrographis paniculata
TCM Name: Chuanxinlian(穿心莲)  
TCM Resource (Sample number): 穿心莲(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

gma-miR168b;

Bencao Homologs

aan-miR168b; apa-miR168b; apl-miR168a; ave-miR168d; bca-miR168d; bch-miR168b; bmj-miR168a; cco-miR168c; ccs-miR168d; cmi-miR168c; cmo-miR168b; dst-miR168a; epr-miR168d; fsu-miR168e; gma-miR168a; gmc-miR168c; gpe-miR168d; ili-miR168b; lcr-miR168c; lfo-miR168d; lpu-miR168a; mca-miR168a; mch-miR168a; nnu-miR168d; nte-miR168a; por-miR168b; pvl-miR168e; rcr-miR168f; rja-miR168c; sba-miR168c; sbc-miR168g; smi-miR168d; sor-miR168a; sto-miR168b; vum-miR168a;

Rfam Alignments

>> MIR168  microRNA MIR168
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0025   17.8   0.0  cm       19       37 ~~           1          19 + ~~ 1.00 5'&3' 0.68
                                                               ??  ?????????? ????       NC
                                                         ~~~~~~<<--<<<<<<<<<<-<<<<~~~~~~ CS
                                               MIR168  1 <[18]*UCGCUUGGUGCAGGUCGGG*[96]> 133
                                                               UCGCUUGGUGCAGGUCGGG
                                          vum-miR168a  1 <[ 0]*UCGCUUGGUGCAGGUCGGG*[ 0]> 19
                                                         ......*******************...... PP

Targets

Predicted by TargetFinder

NM_001025091 ;   NM_001040429 ;   NM_001090 ;   NM_001116 ;   NM_001134395 ;   NM_001134396 ;   NM_001142393 ;   NM_001168407 ;   NM_001168408 ;   NM_001168409 ;   NM_001168410 ;   NM_001168411 ;   NM_001256727 ;   NM_001256728 ;   NM_001270546 ;   NM_001271033 ;   NM_001276318 ;   NM_001289984 ;   NM_001289985 ;   NM_001291824 ;   NM_001291825 ;   NM_001291826 ;   NM_001291828 ;   NM_001308143 ;   NM_001318252 ;   NM_001350414 ;   NM_001350415 ;   NM_001350416 ;   NM_001350417 ;   NM_001350418 ;   NM_001350419 ;   NM_001350420 ;   NM_001350421 ;   NM_001350422 ;   NM_001350423 ;   NM_001350424 ;   NM_001350425 ;   NM_001350426 ;   NM_001350427 ;   NM_001350428 ;   NM_001350429 ;   NM_001350430 ;   NM_001350431 ;   NM_001350432 ;   NM_001350433 ;   NM_001350434 ;   NM_001350435 ;   NM_001350436 ;   NM_001350437 ;   NM_001350438 ;   NM_001350439 ;   NM_001350440 ;   NM_001350441 ;   NM_001350442 ;   NM_001350443 ;   NM_001350444 ;   NM_001350445 ;   NM_001350446 ;   NM_001350447 ;   NM_001350448 ;   NM_001350449 ;   NM_001350450 ;   NM_001350454 ;   NM_001350455 ;   NM_001350456 ;   NM_001350457 ;   NM_001350458 ;   NM_001350459 ;   NM_001350460 ;   NM_001350461 ;   NM_001350462 ;   NM_001350463 ;   NM_001350464 ;   NM_001350465 ;   NM_001350466 ;   NM_001350467 ;   NM_001350468 ;   NM_001350469 ;   NM_001350470 ;   NM_001350471 ;   NM_001350472 ;   NM_001350473 ;   NM_001350474 ;   NM_001350968 ;   NM_001350970 ;   NM_001351675 ;   NM_001365684 ;   NM_001670 ;   NM_004810 ;   NM_004994 ;   NM_006403 ;   NM_006738 ;   NM_007200 ;   NM_012401 ;   NM_014869 ;   NM_014989 ;   NM_015288 ;   NM_015627 ;   NM_020062 ;   NM_022455 ;   NM_032350 ;   NM_145166 ;   NM_172349 ;   NM_174905 ;   NM_182919 ;   NR_040035 ;   NR_073131 ;   NR_104058 ;  

Predicted by TAPIR

NM_000384 ;   NM_001012614 ;   NM_001025091 ;   NM_001048194 ;   NM_001048195 ;   NM_001090 ;   NM_001116 ;   NM_001134395 ;   NM_001134396 ;   NM_001159531 ;   NM_001168407 ;   NM_001168408 ;   NM_001168409 ;   NM_001168410 ;   NM_001168411 ;   NM_001256727 ;   NM_001256728 ;   NM_001261464 ;   NM_001261465 ;   NM_001269 ;   NM_001270546 ;   NM_001289984 ;   NM_001289985 ;   NM_001291824 ;   NM_001291825 ;   NM_001291826 ;   NM_001291828 ;   NM_001308143 ;   NM_001318252 ;   NM_001320698 ;   NM_001328 ;   NM_001346083 ;   NM_001350414 ;   NM_001350415 ;   NM_001350416 ;   NM_001350417 ;   NM_001350418 ;   NM_001350419 ;   NM_001350420 ;   NM_001350421 ;   NM_001350422 ;   NM_001350423 ;   NM_001350424 ;   NM_001350425 ;   NM_001350426 ;   NM_001350427 ;   NM_001350428 ;   NM_001350429 ;   NM_001350430 ;   NM_001350431 ;   NM_001350432 ;   NM_001350433 ;   NM_001350434 ;   NM_001350435 ;   NM_001350436 ;   NM_001350437 ;   NM_001350438 ;   NM_001350439 ;   NM_001350440 ;   NM_001350441 ;   NM_001350442 ;   NM_001350443 ;   NM_001350444 ;   NM_001350445 ;   NM_001350446 ;   NM_001350447 ;   NM_001350448 ;   NM_001350449 ;   NM_001350450 ;   NM_001350455 ;   NM_001350456 ;   NM_001350457 ;   NM_001350458 ;   NM_001350459 ;   NM_001350460 ;   NM_001350461 ;   NM_001350462 ;   NM_001350463 ;   NM_001350464 ;   NM_001350465 ;   NM_001350466 ;   NM_001350467 ;   NM_001350468 ;   NM_001350469 ;   NM_001350470 ;   NM_001350471 ;   NM_001350472 ;   NM_001350473 ;   NM_001350474 ;   NM_001350968 ;   NM_001350970 ;   NM_001351675 ;   NM_001369364 ;   NM_001374354 ;   NM_003815 ;   NM_004810 ;   NM_004994 ;   NM_005076 ;   NM_006738 ;   NM_007200 ;   NM_012401 ;   NM_014989 ;   NM_015001 ;   NM_015288 ;   NM_020062 ;   NM_020836 ;   NM_032350 ;   NM_080431 ;   NM_145166 ;   NM_145175 ;   NM_174905 ;   NM_182919 ;   NM_207191 ;   NM_207194 ;   NM_207195 ;   NM_207196 ;   NM_207197 ;   NR_024160 ;   NR_040035 ;   NR_048577 ;   NR_048578 ;   NR_048579 ;   NR_104058 ;   NR_144350 ;   NR_144632 ;