The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. sRNA Atlas
  4. F27
  5. B60023731

Accession: B60023731

Entry

ID: -
Alias: F27.I000015.A25
Sequence: GAUGAAGAACGUAGCAAA
Description: 5_8S_rRNA 5.8S ribosomal RNA
Species: 阴行草  Species latin name: Siphonostegia chinensis
TCM Names: Beiliujinu(北刘寄奴)  
TCM Resource (Sample number): 北刘寄奴(1)
Evidence support:
Experimental status: Not yet
Database: sRNA Atlas

Homologs

miRBase Homologs

None

Bencao Homologs

B00001829; B00187851; B02017779; B05724535; B06111413; B08154775; B08817108; B09259331; B12288118; B16178616; B16386047; B16710918; B19815011; B20779464; B21165691; B23233497; B28381006; B29463713; B31002638; B33924343; B34589288; B37821900; B38064082; B54899174; B55641430; B56143092; B56854338; B57805796; B60023731; B62600432; B62799765; B63918653; B66525080; B66818189; B68538004; B70302362;

Rfam Alignments

>> 5_8S_rRNA  5.8S ribosomal RNA
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) ?     0.055   10.7   0.0  cm       35       52 ~~           1          18 + ~~ 1.00 5'&3' 0.39
                                                                    ????????             NC
                                                         ~~~~~~:::::((((<<<<_____~~~~~~~ CS
                                            5_8S_rRNA  1 <[34]*GAUGAAgaaCGCaGCaAA*[102]> 154
                                                               GAUGAAGAACG AGCAAA
                                      F27.I000015.A25  1 <[ 0]*GAUGAAGAACGUAGCAAA*[  0]> 18
                                                         ......******************....... PP

Targets

Predicted by TargetFinder

NM_000267 ;   NM_000765 ;   NM_001005221 ;   NM_001005224 ;   NM_001005277 ;   NM_001005504 ;   NM_001040703 ;   NM_001042492 ;   NM_001067 ;   NM_001128147 ;   NM_001130698 ;   NM_001134778 ;   NM_001142293 ;   NM_001143948 ;   NM_001168499 ;   NM_001178030 ;   NM_001178031 ;   NM_001199198 ;   NM_001201404 ;   NM_001201583 ;   NM_001243650 ;   NM_001243736 ;   NM_001256497 ;   NM_001256910 ;   NM_001278590 ;   NM_001282526 ;   NM_001286429 ;   NM_001286638 ;   NM_001300741 ;   NM_001304550 ;   NM_001330059 ;   NM_001330782 ;   NM_001346363 ;   NM_001346364 ;   NM_001346409 ;   NM_001346410 ;   NM_001347864 ;   NM_001351622 ;   NM_001363551 ;   NM_001363700 ;   NM_001365700 ;   NM_001365701 ;   NM_001366479 ;   NM_001367482 ;   NM_001369 ;   NM_001370248 ;   NM_001370249 ;   NM_001370250 ;   NM_001370254 ;   NM_003305 ;   NM_003507 ;   NM_003718 ;   NM_004621 ;   NM_004630 ;   NM_004728 ;   NM_006195 ;   NM_006466 ;   NM_006859 ;   NM_006990 ;   NM_012320 ;   NM_014570 ;   NM_015562 ;   NM_016322 ;   NM_017736 ;   NM_018235 ;   NM_018309 ;   NM_020858 ;   NM_021970 ;   NM_022785 ;   NM_024817 ;   NM_024966 ;   NM_031438 ;   NM_032744 ;   NM_080873 ;   NM_144648 ;   NM_152250 ;   NM_153251 ;   NM_153616 ;   NM_153617 ;   NM_153618 ;   NM_153619 ;   NM_198182 ;   NM_198856 ;   NM_201435 ;   NM_201995 ;   NM_201997 ;   NM_201998 ;   NR_001279 ;   NR_003574 ;   NR_024122 ;   NR_024123 ;   NR_024170 ;   NR_026783 ;   NR_038444 ;   NR_038891 ;   NR_040599 ;   NR_104209 ;   NR_104486 ;   NR_104487 ;   NR_125970 ;   NR_138549 ;   NR_146444 ;   NR_146445 ;   NR_146446 ;   NR_161294 ;  

Predicted by TAPIR