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BioLiP
>rna
acgauacagagaagauuagcauggccccugcgcaaggaugacauucgugaagcguauuu

The query sequence (length=59) 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 59 1.0000 0.9219 1.0000 9.04e-26
2 8r09:6 65 59 1.0000 0.9077 1.0000 9.04e-26 8r0b:6
3 8h6k:6A 60 59 1.0000 0.9833 1.0000 9.04e-26
4 8h6e:6A 59 59 1.0000 1.0000 1.0000 9.04e-26 8h6l:6A, 8qzs:6
5 6ahd:F 94 59 1.0000 0.6277 1.0000 9.04e-26 8qo9:6
6 5o9z:6 90 55 0.9322 0.6111 1.0000 1.51e-23
7 5z56:F 93 57 0.9322 0.5914 0.9649 9.10e-21 5z57:F, 5z58:F
8 8h6j:6A 54 51 0.8475 0.9259 0.9804 1.18e-19
9 8ch6:d 93 57 0.9153 0.5806 0.9474 4.23e-19 7qtt:d
10 8r0a:6 59 56 0.8983 0.8983 0.9464 5.48e-18
11 6zym:6 79 43 0.7288 0.5443 1.0000 7.09e-17
12 8qpe:6 43 43 0.7288 1.0000 1.0000 7.09e-17
13 8qpa:6 47 43 0.7288 0.9149 1.0000 7.09e-17
14 8qoz:6 48 43 0.7288 0.8958 1.0000 7.09e-17 8qpb:6
15 8q7n:6 78 43 0.7288 0.5513 1.0000 7.09e-17
16 5mqf:6 89 43 0.7288 0.4831 1.0000 7.09e-17
17 6ff4:6 95 43 0.7288 0.4526 1.0000 7.09e-17 6ff7:6, 8i0p:F
18 8c6j:6 97 43 0.7288 0.4433 1.0000 7.09e-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
19 6ah0:F 69 53 0.8475 0.7246 0.9434 7.09e-17
20 6qx9:6 53 51 0.8136 0.9057 0.9412 9.17e-16 8qxd:6, 8r08:6
21 8ro1:6 101 43 0.7119 0.4158 0.9767 3.30e-15
22 8ro0:6 90 43 0.7119 0.4667 0.9767 3.30e-15
23 3jb9:N 90 43 0.7119 0.4667 0.9767 3.30e-15
24 8qpk:6 43 38 0.6441 0.8837 1.0000 4.26e-14
25 6qw6:6 42 37 0.6102 0.8571 0.9730 7.14e-12
26 8qp8:6 37 34 0.5593 0.8919 0.9706 3.32e-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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