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TM-score TM-align US-align MM-align RNA-align NW-align LS-align EDTSurf MVP MVP-Fit SPICKER HAAD PSSpred 3DRobot MR-REX I-TASSER-MR SVMSEQ NeBcon ResPRE TripletRes DeepPotential WDL-RF ATPbind DockRMSD DeepMSA FASPR EM-Refiner GPU-I-TASSER

BioLiP E. coli GLASS GPCR-HGmod GPCR-RD GPCR-EXP Tara-3D TM-fold DECOYS POTENTIAL RW/RWplus EvoEF HPSF THE-DB ADDRESS Alpaca-Antibody CASP7 CASP8 CASP9 CASP10 CASP11 CASP12 CASP13 CASP14

BioLiP
>protein
FTYSYLFRMISHEMKQKADQKLEQFDITNEQGHTLGYLYAHQQDGLTQNDIAKALQRTGPTVSNLLRNLERKKLIYRYVD
AQDTRRKNIGLTTSGIKLVEAFTSIFDEMEQTLVSQLSEEENEQMKANLTKMLSSLQ

The query sequence (length=137) 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 5ffz:A 140 137 1.0000 0.9786 1.0000 1.20e-99 5fb2:A, 4lll:C, 4lll:D, 4lll:A, 4lll:B, 4lll:I, 4lll:J, 4lln:A, 4lln:B, 4lln:C, 4lln:D, 4lln:I, 4lln:J
2 2fbh:A 137 135 0.2482 0.2482 0.2519 8.23e-10
3 7dvr:A 147 117 0.1898 0.1769 0.2222 3.89e-06 7dvt:A, 7dvu:A, 7dvv:A, 7dvv:B
4 7el3:A 138 107 0.2190 0.2174 0.2804 0.009 7el3:B
5 7kfq:A 141 74 0.1460 0.1418 0.2703 0.012 7kfo:A, 7kh3:A, 7kig:A, 7kjq:A, 7kk0:A, 7kkc:A, 7kki:A
6 5aip:A 141 87 0.1898 0.1844 0.2989 0.021 5aip:B
7 6pcp:A 140 90 0.1752 0.1714 0.2667 0.025 6pcp:D, 6pcp:B, 6pcp:C, 6pcp:E, 6pcp:F
8 1c0w:D 175 70 0.1606 0.1257 0.3143 0.41
9 1c0w:B 219 70 0.1606 0.1005 0.3143 0.53 1bi0:A, 1bi3:A, 1bi3:B, 1c0w:A, 1c0w:C, 1ddn:A, 1ddn:B, 1ddn:C, 1ddn:D, 2dtr:A, 1f5t:A, 1f5t:B, 1f5t:C, 1f5t:D, 1fwz:A, 1g3w:A, 1g3y:A
10 5jlu:A 137 82 0.1752 0.1752 0.2927 0.59 5jls:A
11 7nsn:A 1371 47 0.1022 0.0102 0.2979 0.70 7nsn:B
12 7otm:A 3656 97 0.1898 0.0071 0.2680 3.0 7otp:A, 7otv:A, 7otw:A, 7oty:A
13 7k1j:A 3584 97 0.1898 0.0073 0.2680 3.1 7k19:A
14 7k17:B 3645 97 0.1898 0.0071 0.2680 3.1 7k17:A
15 6zha:A 3707 97 0.1898 0.0070 0.2680 3.1 6zh8:A
16 7nfc:A 3562 97 0.1898 0.0073 0.2680 3.2 8bh3:S, 8bh3:A, 8bhv:A, 8bhv:F, 8bhy:A, 8bhy:S, 8bot:F, 8bot:S, 7nfc:F
17 7k1n:A 3634 97 0.1898 0.0072 0.2680 3.2 7z88:A
18 8ez9:L 3662 97 0.1898 0.0071 0.2680 3.2 8ez9:C
19 8bot:A 3528 97 0.1898 0.0074 0.2680 3.3
20 6zhe:F 3731 97 0.1898 0.0070 0.2680 3.3
21 7k0y:A 3669 97 0.1898 0.0071 0.2680 3.3
22 7nfe:A 3585 97 0.1898 0.0073 0.2680 3.3
23 8ezb:C 3724 97 0.1898 0.0070 0.2680 3.3 8ezb:L
24 7z87:A 3689 97 0.1898 0.0070 0.2680 3.4
25 8eza:L 3720 97 0.1898 0.0070 0.2680 3.4 8eza:C, 7lt3:C, 7lt3:L
26 7k1k:A 3604 97 0.1898 0.0072 0.2680 3.4 7k1b:A
27 7sud:A 3740 97 0.1898 0.0070 0.2680 3.4
28 4em0:B 150 95 0.1825 0.1667 0.2632 3.4
29 7sgl:A 3852 97 0.1898 0.0067 0.2680 3.5
30 6zhe:A 3768 97 0.1898 0.0069 0.2680 3.5
31 5y3r:C 3636 97 0.1898 0.0072 0.2680 3.6
32 7su3:A 3802 97 0.1898 0.0068 0.2680 3.6
33 3gzl:A 81 36 0.1022 0.1728 0.3889 3.7 2fq0:A, 2fq2:A, 3gzm:B
34 1fx7:A 230 40 0.1022 0.0609 0.3500 4.6 1b1b:A, 1fx7:B, 1fx7:C, 1fx7:D, 2isz:A, 2isz:B, 2isz:C, 2isz:D, 2it0:A, 2it0:B, 2it0:C, 2it0:D, 1u8r:A, 1u8r:B, 1u8r:C, 1u8r:D, 1u8r:G, 1u8r:H, 1u8r:I, 1u8r:J
35 6ztb:I 217 60 0.1168 0.0737 0.2667 6.3 7cme:A, 7cme:B, 7cmf:A, 8hyi:A, 8hyi:B, 5jym:A, 5jym:C, 4oy9:A, 4zml:A, 4zmn:A, 4zmo:A, 4zmp:A, 4zmq:A, 4zmq:B, 4zmt:A, 4zmt:B, 4zmt:C, 4zmt:D, 4zmt:E, 4zmv:A, 4zmv:B, 4zmw:A, 4zmw:B, 4zmx:A, 4zmx:B, 4zmy:A, 4zmz:A, 6ztr:I, 6ztr:J
36 5x4z:N 1074 34 0.1022 0.0130 0.4118 6.9 5x4z:B, 5x51:B, 5x51:N
37 7b20:B 228 40 0.0949 0.0570 0.3250 7.9 7b1v:A, 7b1v:B, 7b1y:A, 7b1y:B, 7b1y:C, 7b1y:D, 7b1y:dd, 7b1y:aa, 7b20:A, 7b20:C, 7b20:D, 7b20:dd, 7b20:aa, 7b23:A, 7b23:B, 7b23:C, 7b23:D, 7b23:dd, 7b23:aa, 7b24:A, 7b24:B, 7b24:C, 7b24:D, 7b24:dd, 7b24:aa, 7b25:A, 7b25:B, 7b25:C, 7b25:D, 7b25:dd, 7b25:aa
38 1y79:1 680 26 0.0803 0.0162 0.4231 9.1
39 6gbe:A 119 22 0.0876 0.1008 0.5455 9.3

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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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