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BioLiP
>protein
APMITCRVCQSLINVEGKMHQHVVKCGVCNEATPIKNAPPGKKYVRCPCNSLLIAKVTSQRIACPRPYCKRIINLGPV

The query sequence (length=78) 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 8oqh:A 81 78 1.0000 0.9630 1.0000 4.71e-52 8oqh:B
2 1khw:B 497 42 0.1795 0.0282 0.3333 0.46 1khw:A
3 1ici:A 256 45 0.1795 0.0547 0.3111 4.6 1ici:B, 1m2g:A, 1m2h:A, 1m2j:A, 1m2k:A, 1m2n:A, 1m2n:B, 4twi:A
4 1iru:B 233 19 0.1026 0.0343 0.4211 4.9 8bzl:O, 8bzl:A, 1iru:P
5 2g2r:L 219 17 0.1154 0.0411 0.5294 4.9 2g2r:A
6 7zke:E 1623 37 0.1538 0.0074 0.3243 7.3
7 3pmq:A 593 34 0.1282 0.0169 0.2941 7.4
8 4j9w:A 310 25 0.1410 0.0355 0.4400 8.2 4j9w:B, 4j9x:A, 4j9x:B
9 4g0r:A 554 34 0.1667 0.0235 0.3824 9.5

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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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