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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
GADSVKIGFITDMSGLYADIDGQGGLEAIKMAVADFGGKVNGKPIEVVYADHQNKADIAASKAREWMDRGGLDLLVGGTN
SATALSMNQVAAEKKKVYINIGAGADTLTNEQCTPYTVHYAYDTMALAKGTGSAVVKQGGKTWFFLTADYAFGKALEKNT
ADVVKANGGKVLGEVRHPLSASDFSSFLLQAQSSKAQILGLANAGGDTVNAIKAAKEFGITKTMKLAALLMFINDVHALG
LETTQGLVLTDSWYWNRDQASRQWAQRYFAKMKKMPSSLQAADYSSVTTYLKAVQAAGSTDSDKVMAQLKKMKIDDFYAK
GYIRTDGSMIHDMYLMEVKKPSESKEPWDYYKVVATIPGEQAFTTKQETRCALWK

The query sequence (length=375) 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 3i09:A 375 375 1.0000 1.0000 1.0000 0.0 3i09:B
2 4eyg:B 364 346 0.2240 0.2308 0.2428 4.22e-14 4eyg:A
3 4zpj:A 371 243 0.1547 0.1563 0.2387 2.62e-12
4 7s6e:B 400 338 0.2213 0.2075 0.2456 1.53e-10 7s6e:A
5 3i45:A 378 317 0.1867 0.1852 0.2208 4.90e-10
6 8hic:A 395 332 0.2133 0.2025 0.2410 4.16e-09 7s6f:A
7 1qo0:B 374 345 0.2080 0.2086 0.2261 2.55e-08 1pea:A, 1qnl:A, 1qo0:A
8 4nqr:A 364 263 0.1413 0.1456 0.2015 4.45e-05 4nqr:B, 4nv3:A, 4nv3:B, 4oat:A, 4oat:B, 4obb:A, 4obb:B, 4og2:A, 4og2:B, 4otz:A, 4otz:B, 4qym:A, 4qym:B, 4rdc:A, 4rv5:A, 4rv5:B
9 4dqd:A 361 218 0.1387 0.1440 0.2385 0.028 3sg0:A
10 5vit:A 548 79 0.0507 0.0347 0.2405 1.1 5vit:P, 5vit:I, 5vit:V
11 3kvo:B 276 80 0.0587 0.0797 0.2750 2.0 3kvo:A
12 3sy9:B 372 33 0.0293 0.0296 0.3333 6.5 3sy9:A, 3sy9:C, 3sy9:D
13 3gtg:C 271 56 0.0347 0.0480 0.2321 8.6 4a3b:C, 4a3c:C, 4a3d:C, 4a3e:C, 4a3f:C, 4a3g:C, 4a3i:C, 4a3j:C, 4a3k:C, 4a3l:C, 4a3m:C, 4a93:C, 2b63:C, 2b8k:C, 4bbr:C, 4bbs:C, 6blo:C, 6blp:C, 6bm2:C, 6bm4:C, 6bqf:C, 4bxx:C, 4bxz:C, 4by1:C, 4by7:C, 5c3e:C, 5c4a:C, 5c4j:C, 5c4x:C, 8cen:C, 8ceo:C, 3cqz:C, 2e2h:C, 2e2i:C, 2e2j:C, 3fki:C, 5fmf:C, 5fyw:C, 5fz5:C, 3gtj:C, 3gtk:C, 3gtl:C, 3gtm:C, 3gto:C, 3gtp:C, 3gtq:C, 6gyk:C, 6gyl:C, 6gym:C, 3h3v:D, 3hou:C, 3hou:O, 3hov:C, 3how:C, 3hox:C, 3hoy:C, 3hoz:C, 1i3q:C, 3i4m:C, 3i4n:C, 1i50:C, 1i6h:C, 6i84:C, 5ip7:C, 5ip9:C, 3j0k:C, 2ja5:C, 2ja6:C, 2ja7:C, 2ja7:O, 2ja8:C, 9ja1:C, 8jch:C, 3k1f:C, 8k5p:C, 3k7a:C, 1k83:C, 7ked:C, 7kee:C, 7kef:C, 3m3y:C, 3m4o:C, 7mei:c, 7mei:C, 7mk9:C, 7mka:c, 7ml0:C, 7ml1:C, 7ml2:C, 7ml4:C, 1nik:C, 7nkx:C, 2nvq:C, 2nvt:C, 2nvx:C, 2nvy:C, 2nvz:C, 7o4i:C, 7o4j:C, 6o6c:C, 7o72:C, 7o73:C, 7o75:C, 5oqj:C, 5oqm:C, 5ot2:C, 3po2:C, 3po3:C, 3qt1:C, 1r5u:C, 2r7z:C, 1r9s:C, 1r9t:C, 2r92:C, 2r93:C, 7rim:C, 7rip:C, 7riq:C, 7riw:C, 7rix:C, 7riy:C, 3rzd:C, 3rzo:C, 3s14:C, 3s15:C, 3s16:C, 3s17:C, 3s1m:C, 3s1n:C, 3s1q:C, 3s1r:C, 3s2d:C, 3s2h:C, 1sfo:C, 5sva:C, 8tug:C, 8tvp:C, 8tvq:C, 8tvs:C, 8tvv:C, 8tvw:C, 8tvx:C, 8tvy:C, 1twa:C, 1twc:C, 1twf:C, 1twg:C, 1twh:C, 5u5q:C, 8u9r:C, 8u9x:C, 8ukq:C, 8ukr:C, 8uks:C, 8ukt:C, 8uku:C, 6upx:C, 6upy:C, 6upz:C, 6uq0:C, 6uq1:C, 6uq2:C, 6uq3:C, 4v1m:C, 4v1n:C, 4v1o:C, 2vum:C, 5vvr:C, 5vvs:C, 5w4u:C, 5w51:C, 1wcm:C, 4x67:C, 4x6a:C, 1y1v:C, 1y1w:C, 4y52:C, 1y77:C, 4y7n:C, 2yu9:C, 7zs9:C, 7zsa:C, 7zsb:C
14 5wtk:A 1215 78 0.0480 0.0148 0.2308 9.4 7dmq:A

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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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