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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
SHMLGLIKKNTLLGIDISSTSVKLLELSRSRYKVEAYAVEPLPPNAVVEKNIVELEGVGQALSRVLVKAKTNLKSAVVAV
AGSAVITKTIEMEAGLSEDELENQLKIEADQYIPYPLEEVAIDFEVQGLSARNPERVDVLLAACRKENVEVREAALALAG
LTAKVVDVEAYALERSYALLSSQLGADTDQLTVAVVDIGATMTTLSVLHNGRTIYTREQLFGGRQLTEEIQRRYGLSVEE
AGLAKKQGGLPDDYDSEVLRPFKDAVVQQVSRSLQFFFAAGQFNDVDYIVLAGGTASIQDLDRLIQQKIGTPTLVANPFA
DMALNGKVNAGALASDAPALMIACGLALRSFD

The query sequence (length=352) 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 5eq6:A 357 356 1.0000 0.9860 0.9888 0.0 5eou:B, 5eox:A, 5eox:B, 5eoy:A, 5eoy:B, 5eq6:B
2 3jc9:Ma 355 357 0.3295 0.3268 0.3249 9.05e-49 3jc9:Mb, 3jc9:Mc, 3jc9:Md, 3jc9:Me, 3jc9:Mf, 3jc9:Mg, 3jc9:Mh, 3jc9:Mi, 3jc9:Mj, 3jc9:Mk, 3jc9:Ml
3 2ych:A 336 344 0.3011 0.3155 0.3081 3.89e-34
4 7q6i:D 362 343 0.2188 0.2127 0.2245 1.34e-04
5 7q6i:B 383 365 0.2330 0.2141 0.2247 8.99e-04 7q6f:A, 7q6f:B, 7q6i:A, 7q6i:C, 7q6i:E, 7q6i:F, 7q6i:G, 7q6i:H, 7q6i:I, 7q6i:J, 7q6i:K, 7q6i:L, 7q6i:M, 7q6i:N, 7q6i:O, 7q6i:P
6 8azg:M 328 195 0.1420 0.1524 0.2564 0.008 8aam:M, 8ab4:M, 7zpu:M
7 4ybg:A 238 99 0.0767 0.1134 0.2727 0.12
8 3h1q:B 272 143 0.0966 0.1250 0.2378 0.26 3h1q:A
9 6asy:A 606 71 0.0625 0.0363 0.3099 0.33 7a4v:A, 6asy:B, 6cz1:A, 6cz1:B, 6dfm:A, 6dfm:B, 6dfo:A, 6dfo:B, 6do2:A, 6do2:B, 6dws:A, 6dws:B, 5e84:A, 5e84:B, 5e84:C, 5e84:D, 5e84:E, 5e84:F, 6eoe:A, 6eof:A, 5evz:A, 5evz:B, 5ex5:A, 5ex5:B, 5exw:A, 5exw:B, 5ey4:A, 5ey4:B, 5f0x:A, 5f0x:B, 5f1x:A, 5f1x:B, 5f2r:A, 5f2r:B, 3iuc:A, 3iuc:C, 3ldl:A, 3ldl:B, 3ldo:A, 3ldo:B, 3ldp:A, 3ldp:B, 7n1r:A, 7n1r:B, 6zmd:A, 6zyh:A, 6zyh:B
10 7q6g:A 388 257 0.1790 0.1624 0.2451 0.45 7q6d:A
11 3wqt:B 334 144 0.0966 0.1018 0.2361 0.83
12 8ide:A 929 114 0.0994 0.0377 0.3070 1.2
13 7nup:D 884 151 0.1108 0.0441 0.2583 1.2 5ab0:C, 5ab2:B, 4e36:A, 4e36:B, 6ea4:A, 6ea4:B, 5j6s:B, 4jbs:A, 4jbs:B, 7nsk:B, 7nup:C, 7p7p:B, 7pfs:B, 3se6:A, 3se6:B
14 7pfs:A 916 151 0.1108 0.0426 0.2583 1.2 5ab0:A, 5ab2:A, 5j6s:A, 5k1v:A, 7nsk:A, 7nup:A, 7nup:B, 7p7p:A, 7sh0:A
15 5k1v:B 849 151 0.1108 0.0459 0.2583 1.3 7sh0:B
16 7mit:E 1438 47 0.0568 0.0139 0.4255 1.3 7mjo:E, 7mjp:E, 7mjq:E, 7y1l:A
17 4czm:A 336 174 0.1307 0.1369 0.2644 1.9 4czf:A, 4czg:A, 4czh:A, 4czj:A, 4czj:B, 4czk:A, 4czl:A, 4czm:B
18 3wt0:D 378 68 0.0568 0.0529 0.2941 4.2 3wqt:A, 3wqt:C, 3wqt:D, 3wqu:A, 3wqu:B, 3wqu:C, 3wqu:D, 3wt0:A, 3wt0:B, 3wt0:C
19 4pne:B 272 194 0.1364 0.1765 0.2474 4.8 4pne:A
20 2bvf:A 453 93 0.0540 0.0419 0.2043 5.8 2bvf:B, 2bvg:A, 2bvg:B, 2bvg:C, 2bvg:D, 2bvh:A, 2bvh:B, 2bvh:C, 2bvh:D
21 3c7n:A 649 211 0.1307 0.0709 0.2180 6.6
22 3d2e:A 629 211 0.1307 0.0731 0.2180 7.0 3d2e:C, 3d2f:A, 3d2f:C, 2qxl:A, 2qxl:B
23 7z0s:F 164 30 0.0341 0.0732 0.4000 7.8 7z0t:F
24 7nfe:A 3585 71 0.0568 0.0056 0.2817 8.1
25 8bot:A 3528 71 0.0568 0.0057 0.2817 8.4
26 6jja:A 154 48 0.0398 0.0909 0.2917 9.3
27 2v7y:A 504 53 0.0398 0.0278 0.2642 9.8

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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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