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I-TASSER I-TASSER-MTD C-I-TASSER CR-I-TASSER QUARK C-QUARK LOMETS MUSTER CEthreader SEGMER DeepFold DeepFoldRNA FoldDesign COFACTOR COACH MetaGO TripletGO IonCom FG-MD ModRefiner REMO DEMO DEMO-EM DMFold SPRING COTH Threpp PEPPI BSpred ANGLOR EDock BSP-SLIM SAXSTER FUpred ThreaDom ThreaDomEx EvoDesign BindProf BindProfX SSIPe GPCR-I-TASSER MAGELLAN ResQ STRUM DAMpred

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
HMDTTFQAAIDTGKINGAVVCATDAQGHFVYNKATGERTLLSGEKQPQQLDDVLYLASATKLITTIAALQCVEDGLLSLD
GDLSSIAPELAAKYVLTGFTDDESPLDDPPARPITLKMLLTHSSGTSYHFLDPSIAKWRAQYANPENEKPRLVEEMFTYP
LSFQPGTGWMYGPGLDWAGRVVERVTGGTLMEFMQKRIFDPLGITDSQFYPVTREDLRARLVDLNPSDPGALGSAVIGGG
GEMNLRGRGAFGGHGLFLTGLDFVKILRSLLANDGMLLKPAAVDNMFQQHLGPEAAASHRAALASPLGPFFRVGTDPETK
VGYGLGGLLTLEDVDGWYGERTLTWGGGLTLTWFIDRKNNLCGVGAIQAVLPVDGDLMADLKQTFRHDIYRKYSAWKGQQ

The query sequence (length=400) 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 6kjd:B 400 400 0.9975 0.9975 0.9975 0.0 6kjd:A, 6kje:B, 6kje:A, 6kjf:B, 6kjf:A
2 3hlf:A 425 403 0.3900 0.3671 0.3871 2.99e-74 3hld:A, 3hle:A, 3hlg:A
3 7u1b:A 403 382 0.3125 0.3102 0.3272 2.67e-38
4 4ivk:A 404 404 0.2975 0.2946 0.2946 1.67e-31
5 7pp8:A 402 384 0.2775 0.2761 0.2891 1.14e-26 7pp8:B, 7pp8:C, 7pp8:D, 7pp8:E, 7pp8:F, 7pp8:G, 7pp8:H, 7pu6:A, 7pu6:B, 7pu6:C, 7pu6:D, 7pu6:E, 7pu6:F, 7pu6:G, 7pu6:H
6 1ci9:A 377 383 0.2650 0.2812 0.2768 2.35e-21 1ci9:B
7 4p85:A 390 387 0.2325 0.2385 0.2403 3.77e-13 4p85:B, 4p87:A, 4p87:B, 5zwq:A, 5zwq:B, 5zwr:B, 5zwr:A
8 6kjj:A 361 210 0.1450 0.1607 0.2762 1.50e-12 6kjp:A, 6kjq:A, 6kjr:A
9 2qmi:F 447 221 0.1450 0.1298 0.2624 1.22e-09 2qmi:E, 2qmi:G, 2qmi:H
10 1cef:A 347 163 0.1025 0.1182 0.2515 4.44e-07 1ceg:A, 1hvb:A, 1ikg:A, 1iki:A, 1mpl:A, 1pw1:A, 1pw8:A, 1pwc:A, 1pwd:A, 1pwg:A, 1scw:A, 1sde:A, 1yqs:A
11 3wwx:A 340 253 0.1675 0.1971 0.2648 7.35e-07
12 2dns:A 362 251 0.1675 0.1851 0.2669 7.91e-07 2dns:B, 2dns:C, 2dns:D, 2dns:E, 2efu:A, 2efu:B, 2efu:C, 2efu:D, 2efx:A, 2efx:B, 2efx:C, 2efx:D, 2efx:E
13 7v1y:A 394 355 0.1900 0.1929 0.2141 2.24e-06 7v1y:C, 7v1y:B, 7v1y:D
14 5tgf:D 332 337 0.1950 0.2349 0.2315 2.26e-06
15 2efu:E 342 180 0.1125 0.1316 0.2500 1.20e-05 2efu:F, 2efx:F
16 7mdf:A 453 166 0.1050 0.0927 0.2530 3.42e-05 4e6w:A, 4e6w:B, 4e6w:C, 7mdc:A
17 4e6x:C 305 164 0.0975 0.1279 0.2378 0.003 4e6x:B
18 1b3o:B 410 126 0.0725 0.0707 0.2302 0.31
19 4yut:A 351 55 0.0525 0.0598 0.3818 2.0 8qfe:A, 8qff:A, 8qfg:A, 8qfh:A, 8qfi:A, 8qfj:A, 5x4t:A, 5x4u:A, 5x4v:A, 4yus:A, 4yut:B
20 9baq:A 1001 97 0.0725 0.0290 0.2990 4.5
21 6kby:A 362 92 0.0650 0.0718 0.2826 4.7 6k9t:A, 6ka5:A, 6m5p:A, 6m5q:A
22 9baz:A 965 97 0.0725 0.0301 0.2990 4.8 9bap:A
23 5kd6:A 400 89 0.0575 0.0575 0.2584 4.9 5kcl:A, 5kcl:B, 5kcq:A, 5kcq:B, 5kcy:A, 5kcy:B, 5kd0:A, 5kd0:B, 5kd6:B, 5kda:A, 5kda:B
24 1ord:A 730 103 0.0750 0.0411 0.2913 4.9 1c4k:A, 1ord:B
25 6z1p:Aq 273 60 0.0475 0.0696 0.3167 5.2
26 7poa:A 398 96 0.0675 0.0678 0.2812 6.2 7poa:B, 7pob:A, 7pob:D, 7pob:B, 7pob:C, 7poc:A, 7poc:D, 7poc:B, 7poc:C
27 3j7y:f 95 43 0.0400 0.1684 0.3721 6.6
28 1d7r:A 431 50 0.0375 0.0348 0.3000 7.7 1d7s:A, 1d7u:A, 1d7v:A, 1dgd:A, 1dge:A, 1dka:A, 2dkb:A, 1m0n:A, 1m0o:A, 1m0p:A, 1m0q:A, 1z3z:A, 1zc9:A, 1zob:A, 1zod:A
29 8rlk:A 385 109 0.0625 0.0649 0.2294 7.7 8rlk:B, 8rlk:C, 8rlk:D
30 8cav:A 860 124 0.0900 0.0419 0.2903 7.8 8cav: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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