Entry

ID: ave-miR168e
Alias: F9599.J000044.A11*
Sequence: CGCUUGGUGCAGGUCGGGA
Description: microRNA MIR168 predicted
Species: 罗布麻 Species latin name: Apocynum venetum
TCM Name: Luobumaye(罗布麻叶)
TCM Resource (Sample number): 罗布麻叶(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

aha-miR168c; ave-miR168e; cmi-miR168d; epr-miR168e; fsu-miR168f; gpe-miR168e; lcr-miR168d; nnu-miR168e; pvl-miR168f; rcr-miR168g; sba-miR168d; sbc-miR168h; smi-miR168e;

Rfam Alignments

>> MIR168  microRNA MIR168
rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !     0.003   17.6   0.0  cm       20       38 ~~           1          19 + ~~ 1.00 5'&3' 0.68
                               ?  ?????????? ?????       NC
                         ~~~~~~<--<<<<<<<<<<-<<<<<~~~~~~ CS
               MIR168  1 <[19]*CGCUUGGUGCAGGUCGGGA*[95]> 133
                               CGCUUGGUGCAGGUCGGGA
          smi-miR168e  1 <[ 0]*CGCUUGGUGCAGGUCGGGA*[ 0]> 19
                         ......*******************...... PP

Targets

Predicted by TargetFinder

NM_000278 ; NM_000914 ; NM_001116 ; NM_001135191 ; NM_001142393 ; NM_001143912 ; NM_001143913 ; NM_001143914 ; NM_001143915 ; NM_001145139 ; NM_001145140 ; NM_001145279 ; NM_001145280 ; NM_001145281 ; NM_001145287 ; NM_001159508 ; NM_001166136 ; NM_001168407 ; NM_001168408 ; NM_001168409 ; NM_001168410 ; NM_001168411 ; NM_001256182 ; NM_001256183 ; NM_001267551 ; NM_001267552 ; NM_001271033 ; NM_001271803 ; NM_001285522 ; NM_001285524 ; NM_001285526 ; NM_001291824 ; NM_001291825 ; NM_001291826 ; NM_001291828 ; NM_001303145 ; NM_001304569 ; NM_001322818 ; NM_001330075 ; NM_001346248 ; NM_001346249 ; 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_001354597 ; NM_001354599 ; NM_001754 ; NM_002225 ; NM_003425 ; NM_003887 ; NM_003987 ; NM_003988 ; NM_003989 ; NM_003990 ; NM_004588 ; NM_004810 ; NM_006403 ; NM_007169 ; NM_012401 ; NM_013275 ; NM_014989 ; NM_015143 ; NM_016606 ; NM_018378 ; NM_018930 ; NM_018931 ; NM_018932 ; NM_018933 ; NM_018934 ; NM_018935 ; NM_018936 ; NM_018937 ; NM_018938 ; NM_018939 ; NM_018940 ; NM_019119 ; NM_019120 ; NM_023073 ; NM_033226 ; NM_080549 ; NM_080872 ; NM_145166 ; NM_147127 ; NM_148172 ; NM_148173 ; NM_152660 ; NR_001280 ; NR_001282 ; NR_027345 ; NR_027346 ; NR_027512 ; NR_034083 ; NR_037891 ; NR_040042 ; NR_045839 ; NR_073131 ; NR_073448 ; NR_073449 ; NR_104348 ; NR_104350 ; NR_136576 ;

Predicted by TAPIR

NM_000168 ; NM_000278 ; NM_000486 ; NM_000914 ; NM_001010846 ; NM_001010857 ; NM_001010938 ; NM_001012614 ; NM_001037335 ; NM_001080423 ; NM_001116 ; NM_001135191 ; NM_001142393 ; NM_001143912 ; NM_001143913 ; NM_001143914 ; NM_001143915 ; NM_001145139 ; NM_001145140 ; NM_001145279 ; NM_001145280 ; NM_001145287 ; NM_001159508 ; NM_001197104 ; NM_001199839 ; NM_001199864 ; NM_001204255 ; NM_001256182 ; NM_001256183 ; NM_001261464 ; NM_001261465 ; NM_001267551 ; NM_001267552 ; NM_001270546 ; NM_001271033 ; NM_001271803 ; NM_001285522 ; NM_001285524 ; NM_001285526 ; NM_001290360 ; NM_001291824 ; NM_001291825 ; NM_001291826 ; NM_001291828 ; NM_001303145 ; NM_001304569 ; NM_001308046 ; NM_001320698 ; NM_001324101 ; NM_001324103 ; NM_001324106 ; NM_001324107 ; NM_001324108 ; NM_001324109 ; NM_001324111 ; NM_001328 ; NM_001330075 ; NM_001346083 ; NM_001346248 ; NM_001346249 ; NM_001354597 ; NM_001354599 ; NM_001364155 ; NM_001364156 ; NM_001364157 ; NM_001364158 ; NM_001364159 ; NM_001369568 ; NM_002225 ; NM_003425 ; NM_003815 ; NM_003887 ; NM_003987 ; NM_003988 ; NM_003989 ; NM_003990 ; NM_004050 ; NM_004810 ; NM_005076 ; NM_005506 ; NM_005781 ; NM_005933 ; NM_006403 ; NM_006738 ; NM_007169 ; NM_007200 ; NM_012401 ; NM_013275 ; NM_015001 ; NM_015143 ; NM_016606 ; NM_018378 ; NM_018930 ; NM_018931 ; NM_018932 ; NM_018933 ; NM_018934 ; NM_018935 ; NM_018936 ; NM_018937 ; NM_018938 ; NM_018939 ; NM_018940 ; NM_019119 ; NM_019120 ; NM_020764 ; NM_023073 ; NM_024007 ; NM_024509 ; NM_032816 ; NM_033226 ; NM_080431 ; NM_145166 ; NM_148172 ; NM_148173 ; NM_152660 ; NM_182708 ; NM_207191 ; NM_207194 ; NM_207195 ; NM_207196 ; NM_207197 ; NR_001280 ; NR_001282 ; NR_027345 ; NR_027346 ; NR_027512 ; NR_034083 ; NR_034149 ; NR_037891 ; NR_040042 ; NR_045839 ; NR_048577 ; NR_048578 ; NR_048579 ; NR_073131 ; NR_073448 ; NR_104348 ; NR_104350 ; NR_135169 ; NR_136576 ; NR_144350 ; NR_147829 ; NR_147830 ; NR_147831 ; NR_147989 ; NR_163594 ;

The Bencao (Herbal) Database（本草数据库）

Accession: B09476441