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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
LKPVIGITGQQRYVDAIQKVGGFPIALPIDDPSTAVQAISLVDGLLLTGGQDITPQLYLEEPSQEIGAYFPPRDSYEIAL
VRAALDAGKPIFAICRGMQLVNVALGGTLYQDISQVETKALQHLQRVDEQLGSHTIDIEPTSELAKHHPNKKLVNSLHHQ
FIKKLAPSFKVTARTADGMIEAVEGDNLPSWYLGVQWHPELMFQTDPESEQLFQALVDESKKTM

The query sequence (length=224) 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 3fij:A 224 224 1.0000 1.0000 1.0000 3.86e-167 3fij:B, 3fij:C, 3fij:D, 3fij:E, 3fij:F, 3fij:G, 3fij:H
2 7d50:B 255 224 0.3482 0.3059 0.3482 8.50e-35 7d4r:A, 7d50:A, 7d53:A, 7d53:B, 7d53:C, 7d53:D
3 6vtv:B 252 242 0.3929 0.3492 0.3636 3.20e-33 6vtv:A
4 7d4r:B 215 223 0.3304 0.3442 0.3318 4.31e-30
5 2vxo:B 658 175 0.1964 0.0669 0.2514 1.69e-07 2vxo:A
6 7yc6:A 183 191 0.2009 0.2459 0.2356 1.97e-05
7 5tw7:F 490 117 0.1607 0.0735 0.3077 5.02e-04 5tw7:E
8 2vrn:A 185 96 0.1562 0.1892 0.3646 0.006
9 1gpm:A 501 167 0.1875 0.0838 0.2515 0.012 1gpm:B, 1gpm:C, 1gpm:D
10 5n29:A 265 146 0.1518 0.1283 0.2329 0.076
11 2ywc:A 475 117 0.1339 0.0632 0.2564 0.16 2ywc:B, 2ywc:C, 2ywc:D
12 7nvm:e 540 66 0.0893 0.0370 0.3030 0.20 8i1u:E, 8i1u:M, 7nvl:E, 7nvl:e, 7nvm:E, 7nvn:E, 7nvn:e, 8sfe:e, 8sfe:E, 8sff:E, 8sff:e, 8sg8:E, 8sg8:e, 8sg9:E, 8sg9:e, 8sgc:E, 8sgc:e, 8sgl:E, 8sgl:e, 8sgq:E, 8sgq:e, 8sh9:E, 8sh9:e, 8sha:E, 8sha:e, 8shd:E, 8shd:e, 8she:E, 8she:e, 8shf:E, 8shf:e, 8shg:E, 8shg:e, 8shl:E, 8shl:e, 8shn:E, 8shn:e, 8sho:E, 8sho:e, 8shp:E, 8shp:e, 8shq:E, 8shq:e, 8sht:E, 8sht:e, 7trg:D, 7ttn:D, 7ttt:D, 7tub:D, 5uyx:A, 5uyx:C, 5uyz:A, 5uyz:B, 5uyz:C, 7x0s:E, 7x0s:e, 7x0v:E, 7x0v:e, 7x3j:E, 7x3j:e, 7x3u:E, 7x3u:e
13 3r75:B 622 35 0.0625 0.0225 0.4000 0.51 3r75:A, 3r76:A, 3r76:B
14 7lm0:A 449 32 0.0670 0.0334 0.4688 0.55 7lm0:B
15 8hx8:A 673 120 0.1250 0.0416 0.2333 0.63 8hx6:A, 8hx6:B, 8hx7:A, 8hx7:B, 8hx8:B, 8hx9:B
16 5tgc:D 428 64 0.0848 0.0444 0.2969 0.71 5tgc:A
17 2nv2:J 196 107 0.1205 0.1378 0.2523 0.72 2nv2:B, 2nv2:D, 2nv2:F, 2nv2:H, 2nv2:L, 2nv2:N, 2nv2:P, 2nv2:R, 2nv2:T, 2nv2:V, 2nv2:X
18 6vz4:L 393 64 0.0848 0.0483 0.2969 0.77 6vzg:L
19 7d54:A 242 35 0.0580 0.0537 0.3714 0.97 7d54:B
20 8bv0:A 342 50 0.0670 0.0439 0.3000 1.8 8bv0:C
21 4zdj:A 535 187 0.2143 0.0897 0.2567 1.9 4zdk:A, 4zdk:B
22 7lld:A 446 30 0.0625 0.0314 0.4667 2.1 7lld:B, 7lle:A, 7lle:B
23 8gu0:B 450 61 0.0982 0.0489 0.3607 3.7 8gu0:A
24 4pfb:A 308 35 0.0625 0.0455 0.4000 4.4
25 7mii:A 497 120 0.1429 0.0644 0.2667 5.6 7mih:A, 7mih:B, 7mih:C, 7mih:E, 7mii:B, 7mii:C, 7mii:E
26 8rfh:A 730 51 0.0714 0.0219 0.3137 6.4 8rfh:B
27 2iv9:A 236 43 0.0580 0.0551 0.3023 7.8 2g30:A, 3h1z:A, 3hs9:A, 2iv8:A, 2iv9:B
28 4wbt:A 369 30 0.0446 0.0271 0.3333 8.7 4wbt:B, 4wbt:C
29 3b7y:A 144 47 0.0491 0.0764 0.2340 8.9
30 8j0t:C 534 104 0.1205 0.0506 0.2596 9.2 8j0s:A, 8j0s:B, 8j0s:C, 8j0t:A, 8j0t:B, 8jr0:A, 8jr0:B, 8jr0:C
31 1ox4:B 538 19 0.0402 0.0167 0.4737 9.4 1jvn:B, 1ox4:A, 1ox5:A, 1ox5:B, 1ox6: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).
  • yangzhanglabumich.edu | (734) 647-1549 | 100 Washtenaw Avenue, Ann Arbor, MI 48109-2218