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BioLiP
>rna
aacgauacagagaagauuagcauggccccugcgcaaggaugacauucgugaagcguauuu

The query sequence (length=60) is searched through a non-redundant set of database sequences rna_nr.fasta.gz clustered at 100% identity cutoff to identify representative hits. Homologs that belong to the same sequence cluster of the representative hit are listed in the last column of the table.

# Hit Hit
length
Aligned
length
Identity
(normalized by query)
Identity
(normalized by hit)
Identity (normalized
by aligned length)
E-value Homologs
to hit
1 8rm5:6 64 60 1.0000 0.9375 1.0000 2.57e-26
2 8r09:6 65 60 1.0000 0.9231 1.0000 2.57e-26 8r0b:6
3 8h6k:6A 60 60 1.0000 1.0000 1.0000 2.57e-26
4 6ahd:F 94 60 1.0000 0.6383 1.0000 2.57e-26 8qo9:6
5 8h6e:6A 59 59 0.9833 1.0000 1.0000 9.26e-26 8h6l:6A, 8qzs:6
6 5o9z:6 90 56 0.9333 0.6222 1.0000 4.31e-24
7 5z56:F 93 58 0.9333 0.6022 0.9655 2.59e-21 5z57:F, 5z58:F
8 8h6j:6A 54 51 0.8333 0.9259 0.9804 1.21e-19
9 8ch6:d 93 58 0.9167 0.5914 0.9483 1.21e-19 7qtt:d
10 8r0a:6 59 56 0.8833 0.8983 0.9464 5.61e-18
11 6zym:6 79 44 0.7333 0.5570 1.0000 2.02e-17
12 8qpa:6 47 44 0.7333 0.9362 1.0000 2.02e-17
13 8qoz:6 48 44 0.7333 0.9167 1.0000 2.02e-17 8qpb:6
14 8q7n:6 78 44 0.7333 0.5641 1.0000 2.02e-17
15 5mqf:6 89 44 0.7333 0.4944 1.0000 2.02e-17
16 6ff4:6 95 44 0.7333 0.4632 1.0000 2.02e-17 6ff7:6, 8i0p:F
17 8c6j:6 97 44 0.7333 0.4536 1.0000 2.02e-17 9fmd:6, 8i0r:F, 8i0s:F, 8i0t:F, 8i0u:F, 8i0v:F, 8i0w:F, 6icz:F, 6id0:F, 6id1:F, 6qdv:6, 8ro2:6, 7w59:F, 7w5a:F, 7w5b:F, 5xjc:F, 5yzg:F
18 8qpe:6 43 43 0.7167 1.0000 1.0000 7.26e-17
19 6ah0:F 69 53 0.8333 0.7246 0.9434 7.26e-17
20 8ro1:6 101 44 0.7167 0.4257 0.9773 9.39e-16
21 8ro0:6 90 44 0.7167 0.4778 0.9773 9.39e-16
22 6qx9:6 53 51 0.8000 0.9057 0.9412 9.39e-16 8qxd:6, 8r08:6
23 3jb9:N 90 44 0.7167 0.4778 0.9773 9.39e-16
24 8qpk:6 43 38 0.6333 0.8837 1.0000 4.37e-14
25 6qw6:6 42 37 0.6000 0.8571 0.9730 7.31e-12
26 8qp8:6 37 34 0.5500 0.8919 0.9706 3.40e-10 8qp9:6

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Reference:
  • Chengxin Zhang, Xi Zhang, Peter L Freddolino, and Yang Zhang. BioLiP2: an updated structure database for biologically relevent ligand-protein interactions, Nucleic Acids Research, gkad630 (2023).
  • Jianyi Yang, Ambrish Roy, and Yang Zhang. BioLiP: a semi-manually curated database for biologically relevant ligand-protein interactions, Nucleic Acids Research, 41: D1096-D1103 (2013) (download the PDF file).
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