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BioLiP
>protein
KAMINLHIQKDNPKIVHAFDMEDLGDAKAVYCRCWRSKKFPFCDGAHTKHNEETGDNVGPLIIKKK

The query sequence (length=66) is searched through a non-redundant set of database sequences protein_nr.fasta.gz clustered at 90% 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 3ew0:A 77 66 0.9848 0.8442 0.9848 2.67e-43 6de9:A, 3ew0:B, 4ezf:A, 4ezf:B, 4f1e:A, 4f1e:B, 4f1e:C, 4f1e:D, 4f1e:E, 4f1e:F, 4f1e:G, 4f1e:H, 4f1e:I, 4f1e:J, 4f1e:K, 4f1e:L, 4f1e:M, 4f1e:N, 4f1e:O, 4f1e:P, 4f1e:Q, 4f1e:R, 4f28:A, 4f28:B, 4f2c:A, 4f2c:B, 3lpq:A, 3lpq:B, 7p0o:A, 7p0o:B, 2qd0:A, 2qd0:B, 2qh7:A, 2qh7:B, 2r13:A, 3ree:A
2 3fnv:B 68 65 0.6818 0.6618 0.6923 1.84e-31 3fnv:A, 4oo7:A, 4oo7:B, 4ooa:A, 4ooa:B, 4ooa:C, 4ooa:D, 4ooa:E, 4ooa:F, 7p0p:A, 7p0p:B, 7p0p:C, 7p0p:D
3 7yvz:A 63 63 0.5909 0.6190 0.6190 9.01e-25
4 3s2r:B 78 63 0.4697 0.3974 0.4921 1.11e-18 3s2q:A, 3s2q:B, 3s2r:A
5 3tbn:A 87 17 0.1667 0.1264 0.6471 0.036
6 3tbn:A 87 19 0.1515 0.1149 0.5263 2.2
7 3tbm:A 61 24 0.1667 0.1803 0.4583 0.064 3tbm:B
8 6z1p:AV 129 24 0.1818 0.0930 0.5000 0.091
9 6avj:A 92 16 0.1667 0.1196 0.6875 0.23 6avj:B, 6avj:C
10 3tbo:A 54 22 0.1818 0.2222 0.5455 0.32
11 5tbd:G 112 34 0.1970 0.1161 0.3824 1.7 5tbd:F, 5tbd:B, 5tbd:K
12 3gm0:A 237 24 0.1667 0.0464 0.4583 5.0 3gkz:A, 4gqp:H, 4lar:H, 4las:H
13 2zze:A 744 25 0.1515 0.0134 0.4000 5.2 2zze:B, 2zzf:A, 2zzg:A, 2zzg:B
14 8any:e 238 56 0.2424 0.0672 0.2857 5.8 3j7y:e, 7odr:e, 7ods:e, 7odt:e, 8oir:Bv, 8oit:Bv, 8pk0:e, 7po4:e, 7qi4:e, 7qi5:e, 7qi6:e, 8qsj:e, 6zm5:e, 6zm6:e
15 7t2r:D 447 56 0.2424 0.0358 0.2857 9.6 7t2r:I, 7t30:D, 7t30:I
16 1is3:A 134 12 0.1364 0.0672 0.7500 10.0 1is4:A, 1wld:A, 1wlw:A

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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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