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BioLiP
>protein
SGFKFLFFSPDGTLYGVHNDKLYKGTPPTSDKDNWLARATLIGNGGW

The query sequence (length=47) 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 8r3b:A 47 47 1.0000 1.0000 1.0000 1.17e-29 8r3c:A, 8r3c:B, 8r3c:E
2 3kih:B 95 47 0.7447 0.3684 0.7447 1.61e-19 3kih:A, 3kih:C, 3kih:D
3 3kih:B 95 44 0.6383 0.3158 0.6818 3.88e-16 3kih:A, 3kih:C, 3kih:D
4 3kif:I 94 45 0.6809 0.3404 0.7111 4.95e-19 3kif:A, 3kif:B, 3kif:C, 3kif:D, 3kif:E, 3kif:F, 3kif:G, 3kif:J
5 3kif:I 94 30 0.3830 0.1915 0.6000 5.33e-07 3kif:A, 3kif:B, 3kif:C, 3kif:D, 3kif:E, 3kif:F, 3kif:G, 3kif:J
6 3kif:I 94 17 0.2553 0.1277 0.7059 0.007 3kif:A, 3kif:B, 3kif:C, 3kif:D, 3kif:E, 3kif:F, 3kif:G, 3kif:J
7 3b59:A 301 19 0.2340 0.0365 0.5789 0.22 3b59:B, 3b59:C, 3b59:D, 3b59:E, 3b59:F
8 6y2n:A 306 19 0.1915 0.0294 0.4737 2.4
9 6w5c:A 1023 29 0.2128 0.0098 0.3448 4.2
10 6w64:A 928 29 0.2128 0.0108 0.3448 4.2
11 6uae:C 125 25 0.1702 0.0640 0.3200 6.8 6uae:A, 6uae:B, 6uae:D
12 8dba:J 510 26 0.2128 0.0196 0.3846 7.5 8dba:C, 8dba:B, 8dba:F, 8dba:I, 8dba:L
13 8fwj:A 552 26 0.2128 0.0181 0.3846 7.5 8db3:A, 8db3:B, 8db3:C, 8dba:A, 8dba:E, 8dba:D, 8dba:G, 8dba:H, 8dba:K, 8fwi:A, 8fwi:D, 8fwi:B, 8fwi:K, 8fwi:C, 8fwi:F, 8fwi:E, 8fwi:H, 8fwi:G, 8fwi:J, 8fwi:I, 8fwi:L, 8fwj:B, 8fwj:C, 8fwj:D, 8fwj:E, 8fwj:F, 8fwj:G, 8fwj:H, 8fwj:I, 8fwj:J, 8fwj:K, 8fwj:L
14 8w4g:A 876 41 0.3191 0.0171 0.3659 8.2 8w4i:A, 8w4n:A, 8x8g:A
15 4lgj:A 256 16 0.1489 0.0273 0.4375 8.8
16 6jr7:A 812 26 0.2128 0.0123 0.3846 9.9 6jr7:B, 6jr7:C, 6jr7:D, 6jr8:A, 6jr8:B, 6jr8:C, 6jr8:D
17 8ffz:B 905 27 0.1915 0.0099 0.3333 10.0

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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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