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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
GSMRTPIIAGNWKMNKTVQEAKDFVNALPTLPDSKEVESVICAPAIQLDALTTAVKEGKAQGLEIGAQNTYFEDNGAFTG
ETSPVALADLGVKYVVIGHSERRELFHETDEEINKKAHAIFKHGMTPIICVGETDEERESGKANDVVGEQVKKAVAGLSE
DQLKSVVIAYEPIWAIGTGKSSTSEDANEMCAFVRQTIADLSSKEVSEATRIQYGGSVKPNNIKEYMAQTDIDGALVGGA
SLKVEDFVQLLEGAK

The query sequence (length=255) 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 3uwv:A 255 255 1.0000 1.0000 1.0000 0.0 3uwu:A, 3uwu:B, 3uwv:B, 3uww:A, 3uww:B, 3uwz:A, 3uwz:B
2 1btm:A 251 253 0.5686 0.5777 0.5731 1.99e-102 1btm:B, 2btm:A, 2btm:B
3 6nee:B 252 248 0.4627 0.4683 0.4758 2.93e-70 6nee:A
4 6bve:A 242 251 0.4431 0.4669 0.4502 3.10e-70 6bve:B
5 8w06:B 251 248 0.4549 0.4622 0.4677 7.80e-70 8v09:A, 8v0a:B, 8w06:A, 8w06:C, 8w06:D, 8w06:E, 8w06:F, 8w06:G, 8w06:H
6 4y96:A 250 251 0.4314 0.4400 0.4382 1.57e-67 4y96:B
7 3tao:A 256 252 0.4431 0.4414 0.4484 4.42e-66
8 4mva:A 255 256 0.4275 0.4275 0.4258 3.08e-63 4mva:B
9 1aw1:A 255 241 0.4118 0.4118 0.4357 4.50e-63 1aw1:B, 1aw1:D, 1aw1:E, 1aw1:G, 1aw1:H, 1aw1:J, 1aw1:K
10 4ff7:A 247 248 0.4039 0.4170 0.4153 1.22e-57 4ff7:B, 7tim:A, 7tim:B, 2ypi:A, 2ypi:B, 3ypi:A, 3ypi:B
11 5eyw:A 244 248 0.4039 0.4221 0.4153 1.31e-57 5eyw:B
12 6ooi:C 255 243 0.3922 0.3922 0.4115 3.83e-57 6ooi:A, 6ooi:B, 6ooi:D, 6ooi:E, 6ooi:F, 6ooi:G, 6ooi:H
13 5zfx:B 248 248 0.3882 0.3992 0.3992 7.49e-57
14 4bi7:A 256 253 0.4235 0.4219 0.4269 5.07e-56 4bi6:A, 3pf3:A
15 1ssg:A 247 248 0.4157 0.4291 0.4274 3.43e-55 1ssg:B, 1su5:A, 1su5:B, 1sw0:A, 1sw0:B, 1sw3:A, 1sw3:B, 1sw7:A, 1sw7:B, 1tpb:1, 1tpb:2, 1tpc:1, 1tpc:2, 1tph:1, 1tph:2, 1tpu:A, 1tpu:B, 1tpv:A, 1tpv:B, 1tpw:A, 1tpw:B
16 6oog:A 252 253 0.3843 0.3889 0.3874 9.85e-54
17 1hti:B 248 248 0.4118 0.4234 0.4234 2.13e-53 4owg:A, 4owg:B, 4poc:B, 4pod:B, 1r2r:B, 7rde:B, 7t0q:A, 6up5:B, 6upf:A, 6upf:B, 7uxv:A, 7uxv:B
18 4y90:A 244 250 0.4000 0.4180 0.4080 2.68e-53 4y90:B, 4y90:C, 4y90:D
19 5gzp:A 246 252 0.3765 0.3902 0.3810 2.87e-52 5gv4:A, 5gzp:B, 1lyx:A, 1lzo:B, 1lzo:D, 1m7p:A, 1m7p:B, 1o5x:A, 1o5x:B, 3pvf:A, 1woa:A, 1woa:B, 1woa:C, 1woa:D, 1wob:A, 1wob:B, 1wob:C, 1wob:D
20 1amk:A 250 240 0.3686 0.3760 0.3917 1.80e-50 7abx:A, 7az3:A, 7az4:A, 7az9:A, 7aza:A, 1if2:A, 1n55:A, 1qds:A, 2vxn:A, 2y61:A, 2y62:A, 2y63:A
21 1ci1:B 249 250 0.3804 0.3896 0.3880 3.14e-50
22 1ag1:T 249 250 0.3765 0.3855 0.3840 1.50e-47 5i3h:B, 5i3i:A, 5i3i:B, 5i3i:C, 5i3i:D, 5i3k:B, 5i3k:C, 5i3k:D, 1iig:B, 2j27:A, 2j27:B, 1kv5:A, 1kv5:B, 4tim:B, 6tim:B, 1trd:B, 1tsi:A, 2v2c:A
23 2y6z:A 256 247 0.3529 0.3516 0.3644 8.17e-42 1ml1:A, 1ml1:C, 1ml1:E, 1ml1:G, 1ml1:I, 1ml1:K, 4pc8:A, 1tti:A, 1ttj:A, 2v2h:A, 2v2h:B, 2v2h:C, 2vek:B, 2vel:A, 2vel:B, 2vem:A, 2vem:B, 2wsr:A, 2x1r:A, 2x1r:B, 2x1s:A, 2x1s:B, 2x1t:B
24 2jgq:A 231 190 0.2627 0.2900 0.3526 5.55e-28 2jgq:B
25 5csr:C 220 99 0.1333 0.1545 0.3434 0.016 5csr:A, 5csr:B, 5csr:D, 5css:A, 5css:B, 5css:C, 5css:D
26 7ol9:B 203 81 0.0863 0.1084 0.2716 0.11 7ol9:A, 6y93:A, 6y93:B
27 1hg3:A 224 179 0.1647 0.1875 0.2346 0.50 1hg3:B, 1hg3:C, 1hg3:D, 1hg3:E, 1hg3:F, 1hg3:G, 1hg3:H
28 2opo:C 85 34 0.0510 0.1529 0.3824 2.4 2opo:A, 2opo:B, 2opo:D
29 1h4b:A 84 34 0.0510 0.1548 0.3824 2.7
30 4rgb:A 274 35 0.0549 0.0511 0.4000 9.4 4rgb:B
31 4imm:A 331 219 0.2000 0.1541 0.2329 9.5 4imm: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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