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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
FHTGIEIKVWAIACFAPQRQCTEVHLKSFTEQLRKISRDAGMPIQGQPCFCKYAQGADSVEPMFRHLKNTYAGLQLVVVI
LPGKTPVYAEVKRVGDTVLGMATQCVQMKNVQRTTPQTLSNLCLKINVKLGG

The query sequence (length=132) 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 8d6j:A 810 132 1.0000 0.1630 1.0000 1.60e-90 9bez:A, 9bez:B, 9bez:C, 9bf0:A, 9bf0:B, 9bf0:C, 9bf2:A, 9bf2:B, 9bf2:C, 7c6b:A, 7c6b:B, 7c6b:C, 7d7u:A, 7d7u:B, 7d7u:C, 8d71:A, 4f3t:A, 5js1:A, 5js2:A, 5ki6:A, 7ki3:A, 7ki3:D, 3luc:A, 3luc:B, 3luc:C, 3lud:A, 3lud:B, 3lud:C, 3lug:A, 3lug:B, 3lug:C, 3luh:A, 3luh:B, 3luh:C, 3luj:A, 3luj:B, 3luj:C, 3luk:A, 3luk:B, 3luk:C, 6mdz:A, 6mdz:B, 6mfn:A, 6mfr:A, 6mfr:B, 6n4o:A, 6nit:A, 6nit:B, 4ola:A, 4olb:A, 3qx8:A, 3qx8:B, 3qx8:C, 3qx9:A, 3qx9:B, 3qx9:C, 6ra4:A, 6ra4:B, 5t7b:A, 4w5n:A, 4w5o:A, 4w5q:A, 4w5r:A, 4w5t:A, 4z4c:A, 4z4d:A, 4z4e:A, 4z4f:A, 4z4g:A, 4z4h:A, 4z4i:A
2 6cbd:A 787 132 1.0000 0.1677 1.0000 1.73e-90 5wea:A
3 4krf:A 817 132 0.8712 0.1408 0.8712 2.46e-79 4kre:A, 4kxt:A, 1si2:A, 1si3:A, 5w6v:A
4 5vm9:C 785 132 0.8712 0.1465 0.8712 3.41e-79 5vm9:A
5 6oon:A 785 132 0.8561 0.1439 0.8561 3.24e-77
6 7sva:A 792 137 0.3258 0.0543 0.3139 1.46e-15 7swf:A, 7swq:A
7 3vnb:A 149 128 0.2727 0.2416 0.2812 2.59e-12 4g0p:A, 4g0q:A, 4g0y:A, 4g0z:A, 3vna:A
8 8r3z:A 755 140 0.2879 0.0503 0.2714 0.006
9 4f1n:A 904 121 0.2045 0.0299 0.2231 0.011 5the:A, 5the:C, 5the:E, 5the:G
10 4f1n:B 853 64 0.1591 0.0246 0.3281 0.020
11 4eqm:A 269 43 0.1061 0.0520 0.3256 2.1 4eqm:B, 4eqm:C, 4eqm:D, 4eqm:E, 4eqm:F
12 5ei3:A 191 29 0.0758 0.0524 0.3448 3.5 3am7:A, 4aza:A, 4aza:C, 4bea:A, 5bxv:A, 5bxv:C, 7d6y:A, 4dt6:A, 4dum:A, 5ehc:A, 5eir:A, 1ej1:A, 1ej1:B, 1ej4:A, 1ejh:A, 1ejh:B, 1ejh:C, 1ejh:D, 5ekv:A, 5ekv:C, 7ezw:A, 6gkj:A, 6gkj:B, 6gkj:C, 6gkj:D, 6gkk:A, 6gkk:B, 6gkk:C, 6gkk:D, 6gkl:A, 6gkl:B, 6gkl:C, 6gkl:D, 1ipb:A, 1ipc:A, 5j5o:A, 5j5o:B, 5j5o:C, 5j5o:D, 5j5y:A, 5j5y:B, 1l8b:A, 1l8b:B, 5m7v:A, 5m7v:B, 5m7v:C, 5m7w:A, 5m7w:B, 5m7w:C, 5m7w:D, 5m7x:A, 5m7x:B, 5m7x:C, 5m7x:D, 5m7z:A, 5m7z:B, 5m7z:C, 5m80:A, 5m80:B, 5m81:A, 5m81:B, 5m81:C, 5m81:D, 5m83:A, 5m83:B, 5m84:A, 5m84:B, 7meu:A, 7meu:B, 5osx:A, 5osx:B, 8sx4:A, 8sx4:B, 5t46:A, 5t46:C, 4tpw:A, 4tpw:B, 4tqb:A, 4tqb:B, 4tqc:A, 4tqc:B, 6u06:A, 6u06:B, 6u06:C, 6u06:D, 6u09:A, 6u09:B, 6u09:C, 6u09:D, 3u7x:A, 3u7x:B, 2v8w:A, 2v8w:E, 2v8x:A, 2v8x:E, 2v8y:A, 2v8y:E, 2w97:A, 2w97:B, 1wkw:A, 7xtp:A, 7xtp:B, 6ylr:A, 6ylr:B, 6ylt:A, 6ylt:B, 6ylt:C, 6ylt:D, 6ylv:A, 6ylv:B, 6ylv:C, 6ylv:D, 5zjy:A, 5zjz:A, 5zk5:A, 5zk7:A, 5zk7:B, 5zk9:A, 5zml:A
13 5dy0:A 220 73 0.1439 0.0864 0.2603 4.5 5dy0:B, 5dy0:C, 5dy0:D, 5dy1:A, 5dy1:B, 6gy3:A, 6gy3:B
14 1wxi:A 261 84 0.1742 0.0881 0.2738 4.6 1wxe:A, 1wxg:A, 1wxh:A
15 4v6w:Ac 62 42 0.1061 0.2258 0.3333 5.6 6xu6:Ac, 6xu7:Ac, 6xu8:Ac
16 1mky:A 407 23 0.0758 0.0246 0.4348 5.7
17 7ebp:A 526 33 0.1061 0.0266 0.4242 7.1 7ebp:B, 7ebq:A
18 7rbq:A 614 43 0.0833 0.0179 0.2558 8.1 7t39:A
19 8rxh:LG 241 46 0.1136 0.0622 0.3261 8.2 8a3w:G, 8a98:G, 6az3:G, 3jcs:G, 8ovj:G, 8rxx:LG, 5t2a:v
20 4eyu:A 456 43 0.1212 0.0351 0.3721 8.9 4ask:A, 4ask:B, 4eyu:B, 4ez4:A, 4ez4:B, 4ezh:A, 4ezh:B, 6f6d:A, 5fp3:A, 5fp3:B, 5oy3:A, 2xue:A, 2xue:B, 2xxz:A, 2xxz:B
21 8g9f:C 446 68 0.1061 0.0314 0.2059 9.8 8g9l:B, 8g9o:B, 8ucv:B, 8v6g:C, 8v6h:C, 8v6i:C, 8v6j:C

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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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