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BioLiP
>protein
EACKFLHQERMDVCETHLHWHTVAKETCSEKSTNLHDYGMLLPCGIDKFRGVEFVCCPL

The query sequence (length=59) 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 3ktm:E 177 59 0.9661 0.3220 0.9661 1.42e-38 2fk1:A, 2fk2:A, 2fk3:A, 2fk3:H, 2fk3:E, 2fk3:F, 4jfn:A, 3ktm:A, 3ktm:B, 3ktm:C, 3ktm:D, 3ktm:F, 3ktm:G, 3ktm:H
2 6dfu:A 332 42 0.2203 0.0392 0.3095 2.2 6dfu:B
3 6dlh:A 704 17 0.1695 0.0142 0.5882 4.5 6dms:A, 6dns:A
4 3va8:A 427 32 0.1525 0.0211 0.2812 7.4
5 2qhs:A 210 21 0.1525 0.0429 0.4286 7.5 2qhu:A, 2qhv:A
6 4buc:A 427 21 0.1356 0.0187 0.3810 8.6 4buc:B
7 3gjb:B 271 32 0.2034 0.0443 0.3750 8.9 3gjb:A
8 7eld:A 1137 21 0.1525 0.0079 0.4286 9.4 7ele:A
9 4b9e:A 297 23 0.1525 0.0303 0.3913 9.5 4bau:A, 4bb0: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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