The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR164
  5. csm-miR164b

Accession: B24702994

Entry

ID: csm-miR164b
Alias: F106107.J000012.A25
Sequence: UGGAGAAGUAGGGCACGUG
Description: microRNA MIR164 predicted
Species: 明党参  Species latin name: Changium smyrnioides
TCM Name: Mingdangshen(明党参)  
TCM Resource (Sample number): 明党参(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

csm-miR164b; csu-miR164e; sar-miR164c;

Rfam Alignments

>> MIR164  microRNA MIR164
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0094   15.8   0.0  cm       11       29 ~~           1          19 + ~~ 1.00 5'&3' 0.58
                                                                 ????????  ?????????       NC
                                                           ~~~~~~<<<<<<<<--<<<<<<<<<~~~~~~ CS
                                                 MIR164  1 <[10]*UGGaGAAGCAGgGCACgUG*[80]> 109
                                                                 UGGAGAAG AGGGCACGUG
                                            sar-miR164c  1 <[ 0]*UGGAGAAGUAGGGCACGUG*[ 0]> 19
                                                           ......*******************...... PP

Targets

Predicted by TargetFinder

NM_001004128 ;   NM_001007471 ;   NM_001017969 ;   NM_001018065 ;   NM_001018066 ;   NM_001033521 ;   NM_001033522 ;   NM_001080426 ;   NM_001089 ;   NM_001098794 ;   NM_001127266 ;   NM_001127457 ;   NM_001128631 ;   NM_001135993 ;   NM_001136123 ;   NM_001136537 ;   NM_001145303 ;   NM_001161407 ;   NM_001163380 ;   NM_001163817 ;   NM_001195303 ;   NM_001201472 ;   NM_001201473 ;   NM_001243403 ;   NM_001243770 ;   NM_001252065 ;   NM_001254748 ;   NM_001254749 ;   NM_001258411 ;   NM_001258412 ;   NM_001258413 ;   NM_001258414 ;   NM_001271003 ;   NM_001271004 ;   NM_001276326 ;   NM_001276327 ;   NM_001277198 ;   NM_001277199 ;   NM_001277200 ;   NM_001282131 ;   NM_001287595 ;   NM_001287597 ;   NM_001288654 ;   NM_001288655 ;   NM_001292030 ;   NM_001300773 ;   NM_001303107 ;   NM_001303108 ;   NM_001318503 ;   NM_001321326 ;   NM_001322033 ;   NM_001324 ;   NM_001329938 ;   NM_001329939 ;   NM_001352235 ;   NM_001352236 ;   NM_001352237 ;   NM_001352238 ;   NM_001352242 ;   NM_001352245 ;   NM_001352246 ;   NM_001352247 ;   NM_001352248 ;   NM_001352249 ;   NM_001352250 ;   NM_001352259 ;   NM_001360 ;   NM_001365809 ;   NM_001366141 ;   NM_001366145 ;   NM_001366147 ;   NM_001366149 ;   NM_001369537 ;   NM_001369538 ;   NM_001371233 ;   NM_001395 ;   NM_001466 ;   NM_001756 ;   NM_002187 ;   NM_002826 ;   NM_003239 ;   NM_003505 ;   NM_003507 ;   NM_003617 ;   NM_004200 ;   NM_005559 ;   NM_006528 ;   NM_006671 ;   NM_007264 ;   NM_014184 ;   NM_014228 ;   NM_015210 ;   NM_015226 ;   NM_015564 ;   NM_017442 ;   NM_017890 ;   NM_018463 ;   NM_019080 ;   NM_020184 ;   NM_020208 ;   NM_020952 ;   NM_021117 ;   NM_022405 ;   NM_024535 ;   NM_024819 ;   NM_024971 ;   NM_032127 ;   NM_032342 ;   NM_032846 ;   NM_052944 ;   NM_133261 ;   NM_138346 ;   NM_138385 ;   NM_144585 ;   NM_144686 ;   NM_145236 ;   NM_145886 ;   NM_145887 ;   NM_152564 ;   NM_153211 ;   NM_153378 ;   NM_172238 ;   NM_178495 ;   NM_194449 ;   NM_206944 ;   NM_206945 ;   NM_206946 ;   NM_206947 ;   NR_003929 ;   NR_028074 ;   NR_034134 ;   NR_037870 ;   NR_102347 ;   NR_109858 ;   NR_111982 ;   NR_121672 ;   NR_130744 ;   NR_144354 ;   NR_144355 ;   NR_144356 ;   NR_144357 ;   NR_147202 ;   NR_147933 ;   NR_147934 ;   NR_147935 ;   NR_147936 ;   NR_147938 ;   NR_147939 ;   NR_147940 ;   NR_149041 ;  

Predicted by TAPIR

NM_000272 ;   NM_001004128 ;   NM_001007471 ;   NM_001017969 ;   NM_001018065 ;   NM_001018066 ;   NM_001039360 ;   NM_001080395 ;   NM_001102371 ;   NM_001113490 ;   NM_001126335 ;   NM_001127266 ;   NM_001128178 ;   NM_001128179 ;   NM_001128631 ;   NM_001135773 ;   NM_001145303 ;   NM_001161407 ;   NM_001163380 ;   NM_001172774 ;   NM_001204897 ;   NM_001204898 ;   NM_001206984 ;   NM_001243036 ;   NM_001271003 ;   NM_001271004 ;   NM_001277198 ;   NM_001277199 ;   NM_001277200 ;   NM_001282396 ;   NM_001282397 ;   NM_001288654 ;   NM_001288655 ;   NM_001302705 ;   NM_001307990 ;   NM_001308022 ;   NM_001308023 ;   NM_001318841 ;   NM_001321326 ;   NM_001322033 ;   NM_001348195 ;   NM_001363041 ;   NM_001363042 ;   NM_001366141 ;   NM_001366145 ;   NM_001366147 ;   NM_001366149 ;   NM_001369537 ;   NM_001369538 ;   NM_001371284 ;   NM_001371285 ;   NM_001371286 ;   NM_001371287 ;   NM_001371288 ;   NM_001371290 ;   NM_001371291 ;   NM_001371559 ;   NM_001371560 ;   NM_001374256 ;   NM_001374257 ;   NM_001466 ;   NM_001756 ;   NM_002031 ;   NM_002826 ;   NM_002836 ;   NM_003505 ;   NM_004579 ;   NM_004920 ;   NM_005304 ;   NM_005434 ;   NM_005559 ;   NM_006038 ;   NM_006492 ;   NM_006528 ;   NM_007264 ;   NM_014184 ;   NM_014270 ;   NM_016257 ;   NM_017890 ;   NM_019080 ;   NM_020952 ;   NM_022066 ;   NM_022648 ;   NM_024819 ;   NM_024955 ;   NM_024971 ;   NM_032846 ;   NM_080840 ;   NM_080841 ;   NM_133265 ;   NM_138385 ;   NM_138461 ;   NM_144686 ;   NM_145886 ;   NM_145887 ;   NM_152564 ;   NM_172238 ;   NM_173791 ;   NM_194449 ;   NM_206944 ;   NM_206945 ;   NM_206946 ;   NM_206947 ;   NM_207181 ;   NM_207325 ;   NR_003929 ;   NR_028074 ;   NR_034134 ;   NR_037870 ;   NR_037950 ;   NR_102347 ;   NR_110786 ;   NR_111982 ;   NR_144354 ;   NR_144355 ;   NR_144356 ;   NR_144357 ;