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BioLiP
>protein
SERKAINKYYPPDYNPLEAEKLSRKMAKKLKTMNKSHASIRLMTPFSMRCLECNEYIPKSRKFNGKKELLKEKYLDSIKI
YRLTISCPRCANSIAFRTDPGNSDYVMEVGGVRNYLEKRLAKIQQEQEDDEELENLRKKNLEMSQRAEMINRSKHAQQEK
A

The query sequence (length=161) 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 6j6q:F 161 161 1.0000 1.0000 1.0000 4.58e-118
2 7b9v:D 194 185 0.9627 0.7990 0.8378 3.68e-108 5gmk:F, 5lj3:D, 5lj5:D
3 8i0w:Y 204 140 0.3851 0.3039 0.4429 9.55e-33 5yzg:Y
4 6zym:u 157 134 0.3478 0.3567 0.4179 2.35e-32
5 8evx:B 305 56 0.1056 0.0557 0.3036 0.38
6 8evw:B 326 56 0.1056 0.0521 0.3036 0.45 8evw:A, 8evx:A
7 1mjt:B 347 91 0.1553 0.0720 0.2747 5.1 1mjt:A
8 7kf3:A 362 30 0.0683 0.0304 0.3667 7.1 7kf3:B, 7kf3:C, 7kf3:D
9 7vem:A 347 47 0.0994 0.0461 0.3404 7.8 7vem:B

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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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