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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
ALILTFLGKSGVARTKIAIAAAKLLASQGKRVLLAGLAEPVLPLLLEQTLTPDPQQIAPNLEVVQFQSSVLLERNWEEVK
KLEAQYLRTPIIKEVYGQELVVLPGMDSALALNAIREYDASGKYDTIVYDGTGDAFTLRMLGLPESLSWYVRRFRQLFVN
SDLGKTIAESPLIQPLISSFFQPTNQVNNFLDKGKEALADPKRVAAFLVTTADPLEVVSVRYLWGSAQQIGLTIGGVIQV
SSQTEGDLSAEFTPLSVTVVPDVTKGDWQPLIDALPNFVEQAEQAPKPITIDTHNRQVRLFLPGFDKKQVKLTQYGPEVT
VEAGDQRRNIFLPPALSGRPITGAKFQNNYLIISF

The query sequence (length=355) 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 8egk:B 355 355 1.0000 1.0000 1.0000 0.0
2 8elf:B 384 383 0.3437 0.3177 0.3185 2.91e-47 8elf:A
3 3ug7:A 317 245 0.1577 0.1767 0.2286 5.77e-11 3ug6:A, 3ug6:B, 3ug6:C, 3ug6:D, 3ug7:B, 3ug7:C, 3ug7:D
4 3zq6:B 288 225 0.1437 0.1771 0.2267 1.54e-08 3zq6:C
5 3zq6:D 307 230 0.1324 0.1531 0.2043 6.89e-07 3zq6:A
6 1ii0:B 553 158 0.1268 0.0814 0.2848 1.65e-04 1f48:A, 1ihu:A, 1ii0:A, 1ii9:A, 1ii9:B
7 3a36:A 314 89 0.0704 0.0796 0.2809 0.002 3a37:A, 5bwk:N
8 3sja:A 338 89 0.0704 0.0740 0.2809 0.011 3a36:B, 3a37:B, 3b2e:B, 3b2e:C, 3sja:E
9 4xtr:B 311 61 0.0535 0.0611 0.3115 0.015 3b2e:A, 3b2e:D, 5bw8:B, 4pwx:A, 4pwx:B, 3vlc:A, 2woj:A, 2woj:B, 2woj:D, 4xtr:A, 4xvu:H, 4xvu:A, 4xvu:B, 4xvu:G, 4xwo:A, 4xwo:G, 4xwo:M, 4xwo:N, 4xwo:S, 4xwo:B, 4xwo:H, 4xwo:T, 3zs8:B, 3zs9:A, 3zs9:B
10 8odu:A 291 65 0.0563 0.0687 0.3077 0.027
11 2woo:A 303 45 0.0451 0.0528 0.3556 0.051 2woo:B, 2woo:C, 2woo:D, 2woo:E, 2woo:F
12 3sjd:C 292 52 0.0507 0.0616 0.3462 0.10 3sjd:A, 3sjd:B, 2woj:C, 3zs8:A
13 3idq:A 272 82 0.0648 0.0846 0.2805 0.14
14 3iqx:A 261 45 0.0451 0.0613 0.3556 0.15 3iqw:A, 3iqw:B, 3iqx:B
15 3ibg:A 300 55 0.0479 0.0567 0.3091 0.16 3ibg:B, 3ibg:C, 3ibg:D, 3ibg:E, 3ibg:F
16 7sq0:A 306 47 0.0479 0.0556 0.3617 0.18 7sq0:B
17 8hac:B 327 58 0.0479 0.0520 0.2931 0.71 8hac:A
18 6so5:A 313 153 0.0817 0.0927 0.1895 0.76 7ru9:A, 7ru9:B, 7rua:A, 7rua:B, 7ruc:A, 7ruc:B
19 6syt:A 1896 46 0.0451 0.0084 0.3478 0.85
20 7pw9:A 1952 46 0.0451 0.0082 0.3478 0.85 7pw4:A, 7pw5:A, 7pw6:A, 7pw7:A, 7pw8:A, 6z3r:A
21 5zme:A 638 57 0.0479 0.0266 0.2982 1.3 5zmf:A
22 7spz:A 328 56 0.0507 0.0549 0.3214 1.8 7spy:A
23 7bzg:A 110 72 0.0648 0.2091 0.3194 2.2 7bzg:B, 7bzg:E, 7bzg:F, 7bzg:I, 7bzg:J
24 6gza:A 87 69 0.0563 0.2299 0.2899 2.4
25 5x7j:B 197 105 0.0873 0.1574 0.2952 3.2 5x7j:A, 5x86:B, 5x86:A, 5x8a:B, 5x8b:A, 5x8b:B, 5x8c:A, 5x8c:B, 5x8d:B, 5x8d:A, 5x98:B, 5x98:A, 5x99:A, 5x99:B, 5xal:A, 5xal:B, 5xt8:A, 5xt8:B, 5zax:A, 5zax:B, 5zb0:A, 5zb0:B, 5zb4:A, 5zb4:B
26 7q03:A 328 82 0.0704 0.0762 0.3049 4.8 7q07:A
27 2dlc:X 339 62 0.0535 0.0560 0.3065 4.8
28 5vhe:A 871 39 0.0423 0.0172 0.3846 6.0 6up3:A, 6up4:A, 5vhc:D, 5vhd:D
29 2c03:B 297 133 0.1099 0.1313 0.2932 6.3 2c03:A, 2cnw:A, 2cnw:B, 2cnw:C, 2j7p:A, 2j7p:B, 1jpj:A, 1jpn:B, 1jpn:A, 1ls1:A, 1ng1:A, 2ng1:A, 1o87:A, 1o87:B, 1okk:A
30 7xbk:D 353 30 0.0310 0.0312 0.3667 7.4
31 5if9:A 251 132 0.0986 0.1394 0.2652 8.1 5if9:B, 5ihp:A, 5ihp:B
32 7tts:D 463 30 0.0310 0.0238 0.3667 8.3 7ttr:A, 7ttr:B, 7ttr:D, 7ttr:E, 7ttr:C, 7tts:A, 7tts:B, 7tts:E, 7tts:C, 7us2:A, 7us2:B, 7us2:C, 7us2:D, 7us2:E, 7us2:F, 7xbk:A, 7xbk:B, 7xbk:C, 7xbk:E, 7xbk:F, 7xbk:G, 7xbk:H, 7xbk:I
33 2bej:A 245 29 0.0451 0.0653 0.5517 9.3 2bek:A, 2bek:B, 2bek:C, 2bek:D

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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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