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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
MLLQKEREEIVAYGKKMISSGLTKGTGGNISIFNREQGLVAISPSGLEYYETKPEDVVILNLDGEVIEGERKPSSELDMH
LIYYRKREDINALVHTHSPYAKTIASLGWELPAVSYLIAFAGPNVRCAPYETFGTKQLADAAFEGMIDRRAVLLANHGLI
AGANNIKMAFTVAEEIEFCAQIYYQTKSIGEPKLLPEDEMENLAKKF

The query sequence (length=207) 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 6btg:A 207 207 1.0000 1.0000 1.0000 5.89e-155 6btd:A
2 4c25:A 212 201 0.5169 0.5047 0.5323 2.31e-80 4c24:A
3 2fua:A 210 206 0.3623 0.3571 0.3641 1.15e-39 1dzu:P, 1dzv:P, 1dzw:P, 1dzx:P, 1dzy:P, 1dzz:P, 1e46:P, 1e47:P, 1e48:P, 1e49:P, 1e4a:P, 1e4b:P, 1e4c:P, 1fua:A, 3fua:A, 4fua:A, 7x78:A
4 6voq:A 207 210 0.3188 0.3188 0.3143 2.54e-19
5 1jdi:A 223 147 0.2222 0.2063 0.3129 1.30e-17 1jdi:B, 1jdi:C, 1jdi:D, 1jdi:E, 1jdi:F, 1k0w:A, 1k0w:B, 1k0w:C, 1k0w:D, 1k0w:E, 1k0w:F
6 8il8:A 230 201 0.2512 0.2261 0.2587 2.11e-14 8il8:B, 8il8:C, 8il8:D
7 4xxf:A 249 200 0.2464 0.2048 0.2550 3.76e-09
8 2z7b:A 237 217 0.2802 0.2447 0.2673 1.93e-06
9 4m6r:A 224 212 0.2657 0.2455 0.2594 2.67e-05 4m6r:B, 4m6r:C, 4m6r:D
10 1gt7:A 274 190 0.1981 0.1496 0.2158 0.31 1gt7:B, 1gt7:C, 1gt7:D, 1gt7:E, 1gt7:F, 1gt7:G, 1gt7:H, 1gt7:I, 1gt7:J, 1gt7:K, 1gt7:L, 1gt7:M, 1gt7:N, 1gt7:O, 1gt7:P, 1gt7:Q, 1gt7:R, 1gt7:S, 1gt7:T, 1ojr:A, 2uyu:A, 2uyu:E, 2uyv:A, 2uyv:B, 2uyv:C, 2uyv:D, 2v29:B, 2v29:A, 2v2a:A, 2v2b:A, 2v9e:A, 2v9e:B, 2v9f:A, 2v9g:A, 2v9g:B, 2v9g:C, 2v9g:D, 2v9i:A, 2v9i:B, 2v9l:A, 2v9m:A, 2v9m:B, 2v9n:A, 2v9n:B, 2v9n:C, 2v9n:D, 2v9o:A, 2v9o:E
11 2yi9:A 771 73 0.1111 0.0298 0.3151 0.43 2yi9:B, 2yi9:C, 2yi9:D, 2yi9:E, 3zed:A, 3zed:B, 3zed:C
12 7w5s:A 302 62 0.1063 0.0728 0.3548 0.69 7w5t:A, 7w5v:A
13 6zhe:F 3731 70 0.1014 0.0056 0.3000 1.8
14 4cej:B 1156 114 0.1401 0.0251 0.2544 1.8 4ceh:B, 4cei:B, 3u44:B, 3u4q:B
15 6zhe:A 3768 70 0.1014 0.0056 0.3000 1.8
16 7otm:A 3656 70 0.1014 0.0057 0.3000 1.9 7otp:A, 7otv:A, 7otw:A, 7oty:A
17 5wjm:A 216 69 0.0918 0.0880 0.2754 2.2
18 7k7t:A 390 32 0.0773 0.0410 0.5000 4.0 7k7t:B
19 3dqy:A 106 24 0.0483 0.0943 0.4167 5.0 4emj:B
20 5yo9:B 366 75 0.1063 0.0601 0.2933 5.7 5yoa:B
21 4nkt:B 308 59 0.0966 0.0649 0.3390 6.3
22 3g73:B 95 29 0.0628 0.1368 0.4483 6.8 7fj2:A, 7fj2:B, 7fj2:E, 7fj2:F, 3g73:A
23 2dq4:A 343 113 0.1256 0.0758 0.2301 8.7 2dq4:B, 2ejv:A, 2ejv:B
24 4e80:C 330 43 0.0773 0.0485 0.3721 8.9 4e80:A, 4e80:B, 4e80:D, 4ep7:A, 4ep7:B, 4fh5:A, 4fhp:A, 4fhv:A, 4fhw:A, 4fhx:A, 4fhy:A, 4nkt:A, 4nku:A, 4nku:B
25 8ez9:L 3662 64 0.0918 0.0052 0.2969 9.3 8ez9:C
26 8eza:L 3720 64 0.0918 0.0051 0.2969 9.5 8eza:C, 7lt3:C, 7lt3:L
27 7sgl:A 3852 64 0.0918 0.0049 0.2969 9.6
28 3r7d:A 291 109 0.1353 0.0962 0.2569 9.7 3r7d:C, 3r7d:B, 3r7f:A, 3r7f:B, 3r7f:C, 3r7l:A, 3r7l:B, 3r7l:C, 3r7l:D, 3r7l:E, 3r7l:F
29 6zha:A 3707 64 0.0918 0.0051 0.2969 9.8 6zh8:A
30 1wu5:A 376 62 0.0821 0.0452 0.2742 9.8 1wu6:A
31 8ezb:C 3724 64 0.0918 0.0051 0.2969 9.9 8ezb:L

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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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