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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
MIKVKSPGRVNLIGEHTDYTYGYVMPMAINLYTKIEAEKHGEVILYSEHFGEERKFSLNDLRKENSWIDYVKGIFWVLKE
SDYEVGGIKGRVSGNLPLGAGLSSSASFEVGILETLDKLYNLKLDSLSKVLLAKKAENEFVGVPCGILDQFAVVFGREGN
VIFLDTHTLDYEYIPFPKDVSILVFYTGVRSSEYAERKHIAEESLKILGKGSSKEVREGELSKLPPLHRKFFGYIVRENA
RVLEVRDALKEGNVEEVGKILTTAHWDLAKNYEVSCKELDFFVERALKLGAYGARLTGAGFGGSAIALVDKEDAETIGEE
ILREYLKRFPWKARHFIVEPSDGVGI

The query sequence (length=346) 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 2dei:A 350 350 1.0000 0.9886 0.9886 0.0 2dej:A
2 1s4e:F 351 349 0.7803 0.7692 0.7736 0.0 1s4e:A, 1s4e:B, 1s4e:C, 1s4e:D, 1s4e:E, 1s4e:H, 1s4e:I
3 1s4e:G 255 334 0.5954 0.8078 0.6168 1.24e-116
4 6q3x:A 393 367 0.3555 0.3130 0.3351 6.20e-58 6gr2:A, 6gr2:B, 6gr2:C, 6gr2:D, 6gr2:E, 6gr2:F, 6gr2:G, 6gr2:H, 7ozx:A, 7ozx:B, 7ozx:C, 6q3w:A, 6q3w:B, 6q3w:C, 6q3x:B, 6q8z:A, 6q8z:B, 6q8z:C, 6q90:A, 6q90:B, 6q90:C, 6q90:D, 6q91:A, 6q91:B, 6q91:C, 6qje:A, 6qje:B, 6qje:C, 7rcl:A, 7rcl:B, 7rcl:C, 7rcl:D, 7rcm:A, 7rcm:B, 7s49:A, 7s49:B, 7s4c:A, 7s4c:B, 1wuu:A, 1wuu:B, 1wuu:C, 1wuu:D, 6zfh:A, 6zfh:B, 6zfh:C, 6zfh:D, 6zfh:E, 6zfh:F, 6zfh:G, 6zfh:H, 6zgv:A, 6zgv:B, 6zgv:E, 6zgv:D, 6zgw:A, 6zgw:B, 6zgw:E, 6zgw:D, 6zgx:A, 6zgx:B, 6zgx:D, 6zgx:E, 6zgy:A, 6zgy:B, 6zgy:E, 6zgz:A, 6zgz:B, 6zgz:E, 6zgz:D, 6zh0:A, 6zh0:B, 6zh0:E, 6zh0:D
5 1pie:A 388 360 0.3844 0.3428 0.3694 1.46e-49
6 6q91:D 360 353 0.3295 0.3167 0.3229 1.54e-49 6qje:D
7 6teq:A 418 362 0.3439 0.2847 0.3287 1.05e-45 6tep:A, 6tep:D, 6tep:C, 6tep:B, 6teq:B, 6teq:C, 6teq:D, 6ter:A, 6ter:B, 6ter:C, 6ter:D
8 2hfu:A 326 258 0.1965 0.2086 0.2636 1.21e-14
9 2aj4:A 509 225 0.1850 0.1257 0.2844 2.15e-11 2aj4:B
10 2aj4:A 509 106 0.0954 0.0648 0.3113 1.33e-07 2aj4:B
11 4hac:A 312 322 0.2225 0.2468 0.2391 4.06e-11 4hac:B, 6mde:A, 6mdf:A, 6mdf:B
12 2a2d:A 448 113 0.1012 0.0781 0.3097 5.01e-11 2a2c:A
13 8teb:A 306 324 0.2168 0.2451 0.2315 2.85e-09
14 3v2u:C 516 224 0.1763 0.1182 0.2723 3.21e-09 3v2u:D
15 3v2u:C 516 83 0.0751 0.0504 0.3133 1.05e-05 3v2u:D
16 2oi2:A 285 62 0.0838 0.1018 0.4677 3.77e-07
17 4ut4:A 345 328 0.2197 0.2203 0.2317 9.14e-05 4ut4:B, 4utg:A, 4utg:B
18 4n3o:B 314 324 0.2110 0.2325 0.2253 4.50e-04
19 4lrs:A 337 26 0.0376 0.0386 0.5000 0.64 4lrt:A, 4lrt:C
20 8tfo:A 390 100 0.0983 0.0872 0.3400 0.65 8tfo:B
21 6xr5:D 393 41 0.0434 0.0382 0.3659 3.0 6xr5:A, 6xr5:B, 6xr5:E, 6xr5:H
22 6myv:C 526 56 0.0491 0.0323 0.3036 4.1 6mrv:B, 6mrv:A, 6myv:A, 6myv:B, 6myv:D
23 8sky:B 303 38 0.0347 0.0396 0.3158 5.1 8sky:A, 8sut:A, 8sut:B, 8suu:A, 8suu:B
24 6i1f:A 343 32 0.0318 0.0321 0.3438 5.2 6i1f:B, 6i1g:A, 6i1g:B, 6i1h:A, 6i1h:B
25 1spg:B 147 30 0.0376 0.0884 0.4333 6.1
26 3mb5:A 255 92 0.0636 0.0863 0.2391 6.1 3lga:A, 3lga:B, 3lga:C, 3lga:D, 3lhd:C, 3lhd:A, 3lhd:B, 3lhd:D
27 8bh7:A 156 39 0.0376 0.0833 0.3333 8.6
28 6dtu:A 375 72 0.0636 0.0587 0.3056 8.7 6dtu:B, 2gha:A, 2gha:B
29 3bcq:B 146 34 0.0434 0.1027 0.4412 8.7 3bcq: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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