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BioLiP
>rna
uggaacgauacagagaagauuagcauggccccugcgcaaggaugacauucgugaagcguauuuu

The query sequence (length=64) 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 64 1.0000 1.0000 1.0000 1.65e-28
2 8r09:6 65 64 1.0000 0.9846 1.0000 1.65e-28 8r0b:6
3 6ahd:F 94 63 0.9844 0.6702 1.0000 5.92e-28 8qo9:6
4 8h6k:6A 60 60 0.9375 1.0000 1.0000 2.75e-26
5 5o9z:6 90 59 0.9219 0.6556 1.0000 9.90e-26
6 8h6e:6A 59 59 0.9219 1.0000 1.0000 9.90e-26 8h6l:6A, 8qzs:6
7 5z56:F 93 61 0.9219 0.6344 0.9672 5.96e-23 5z57:F, 5z58:F
8 8ch6:d 93 61 0.9062 0.6237 0.9508 2.77e-21 7qtt:d
9 8h6j:6A 54 51 0.7812 0.9259 0.9804 1.29e-19
10 6zym:6 79 47 0.7344 0.5949 1.0000 4.64e-19
11 8qpa:6 47 47 0.7344 1.0000 1.0000 4.64e-19
12 8qoz:6 48 47 0.7344 0.9792 1.0000 4.64e-19 8qpb:6
13 8q7n:6 78 47 0.7344 0.6026 1.0000 4.64e-19
14 6ff4:6 95 47 0.7344 0.4947 1.0000 4.64e-19 6ff7:6, 8i0p:F
15 8c6j:6 97 47 0.7344 0.4845 1.0000 4.64e-19 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
16 8r0a:6 59 57 0.8438 0.9153 0.9474 1.67e-18
17 8ro1:6 101 47 0.7188 0.4554 0.9787 2.16e-17
18 8ro0:6 90 47 0.7188 0.5111 0.9787 2.16e-17
19 5mqf:6 89 44 0.6875 0.4944 1.0000 2.16e-17
20 6ah0:F 69 54 0.7969 0.7391 0.9444 2.16e-17
21 8qpe:6 43 43 0.6719 1.0000 1.0000 7.76e-17
22 6qx9:6 53 52 0.7656 0.9245 0.9423 2.79e-16 8qxd:6, 8r08:6
23 3jb9:N 90 47 0.7031 0.5000 0.9574 1.00e-15
24 8qpk:6 43 38 0.5938 0.8837 1.0000 4.67e-14
25 6qw6:6 42 37 0.5625 0.8571 0.9730 7.82e-12
26 8qp8:6 37 34 0.5156 0.8919 0.9706 3.64e-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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