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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
MRLEIPNHTERFGVVRLHEVQRILELDSGRVRDESPAVGLRRLDDADLRDVLEQTAIVVPTRNERLKLLEGVLSGIPHEA
LILVASNSSPDRFQMERDLLEEFAHLTERPALIFHQKDPALAEALRAGGYPHPIGEDGLVRSGKAEGMILALVFAALSGR
RYVGFIDADNYFPGAVWEYVRAYAAGFLMAKTPFAMVRILWRYKPKLTEDEGVVFRRYGRVSERNNRALNQLIGGVSGFE
TDVVKTANAGEHAMSLGLALRLPLASGYAVEPQELVSLLELYGGVFPLEDEEVLQHGVEIFQIETRNPHLHENKGDEHIR
DMLLACLATVYHSKLATEEVRQSVLEELQAAGALAPGEEPPPPVLYPPLSSLDLQAVRKALRGHFSRFRVP

The query sequence (length=391) 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 2wvk:A 391 391 1.0000 1.0000 1.0000 0.0 2wvk:B, 2wvl:A, 2wvl:B, 2wvm:A, 2wvm:B
2 2zu8:A 373 388 0.4271 0.4477 0.4304 1.56e-113 2zu8:B, 2zu9:B, 2zu9:A
3 7c3k:B 389 85 0.0486 0.0488 0.2235 0.15 7c3k:A, 8jqz:A, 8jqz:B
4 4dec:A 284 148 0.1176 0.1620 0.3108 0.46 4de7:A, 3e25:A, 5jsx:A, 5jt0:A, 5juc:A, 5jud:A, 4y6n:A, 4y6u:A, 4y7f:A, 4y7g:A, 4y9x:A
5 6qfb:C 1011 27 0.0332 0.0129 0.4815 0.76
6 5xla:A 490 128 0.0767 0.0612 0.2344 0.77 3eyk:B, 5xl3:B, 5xl3:A, 5xl4:A, 5xl4:B, 5xl6:A, 5xl7:A, 5xl7:B, 5xl9:A, 5xla:B, 5xlc:A, 5xlc:B, 5xld:A, 5xld:B
7 7vex:A 412 109 0.0691 0.0655 0.2477 0.79 8h4m:A
8 8g1e:A 1037 27 0.0332 0.0125 0.4815 0.83 8g1e:B, 8g1e:D, 8g1e:C, 8g1f:A, 8g1f:C, 8g1f:B, 8g1f:D, 8g5c:A, 8g5c:B, 8g5c:C, 8g5c:D, 8g5d:A, 8g5d:B, 8g5d:C, 8g5d:D, 6hxh:A, 6hxh:B, 6hxh:C, 6hxh:D, 6hxh:E, 6hxh:F, 6hxh:G, 6hxh:H, 6hxk:A, 6hxk:B, 6hxk:C, 6hxk:D, 6hxl:A, 6hxl:B, 6hxl:C, 6hxl:D, 6hxl:E, 6hxl:F, 6hxl:G, 6hxl:H, 6hxm:A, 6hxm:B, 7liw:B, 7liw:D, 7lj9:A, 7lj9:B, 7lj9:C, 7lj9:D, 7lla:A, 7lla:C, 7lla:B, 7lla:D, 3mwe:A, 6o0h:A, 6o0h:B, 6o0h:C, 6o0h:D, 3pff:A, 6poe:B, 6poe:D, 6poe:A, 6poe:C, 6qfb:A, 6qfb:B, 6qfb:D, 7rig:A, 7rig:C, 7rig:B, 7rig:D, 7rkz:A, 7rkz:C, 7rkz:B, 7rkz:D, 7rmp:A, 7rmp:C, 7rmp:B, 7rmp:D, 5tde:A, 5tde:B, 5tdf:A, 5tdm:A, 5tdm:B, 5tdz:A, 5te1:A, 5te1:B, 5teq:A, 5teq:B, 5tes:A, 5tet:A, 6ui9:A, 6ui9:C, 6ui9:B, 6ui9:D, 6uia:C, 6uia:A, 6uia:D, 6uia:B, 6uuw:A, 6uuw:C, 6uuw:B, 6uuw:D, 6uuz:A, 6uuz:C, 6uuz:B, 6uuz:D, 6uv5:A, 6uv5:C, 6uv5:B, 6uv5:D, 6z2h:A, 6z2h:C, 6z2h:D
9 6u7j:A 569 60 0.0460 0.0316 0.3000 0.93 6u7j:C, 6u7j:D
10 4wa2:A 491 127 0.0793 0.0631 0.2441 0.98 6bkq:A, 6bkq:C, 6bkq:E, 6cex:A, 6cex:C, 6cex:E, 1mqm:A, 1mqm:D, 1mqm:G, 1mqn:A, 1mqn:D, 5t6n:A, 5t6n:E, 5t6n:C, 6tzb:A, 6tzb:C, 6tzb:E, 2vir:C, 2vis:C, 2vit:C, 5vtq:A, 5vtq:C, 5vtq:E, 5vtr:A, 5vtr:C, 5vtr:E, 5vtv:A, 5vtv:C, 5vtv:E, 5vtw:C, 5vtw:E, 5vtw:A, 5vty:A, 5vty:C, 5vty:E, 5vu4:A, 5vu4:C, 5vu4:E, 4wa2:B, 4wa2:C, 4wa2:E, 6y5j:E, 2ypg:A, 2ypg:C, 2ypg:E
11 7pkt:x 167 74 0.0563 0.1317 0.2973 1.4
12 8p5d:LD0 281 36 0.0384 0.0534 0.4167 5.6 8p60:LD0, 8p60:KD0, 7qca:LD0
13 6bbm:A 405 74 0.0563 0.0543 0.2973 6.6
14 5ftx:A 651 35 0.0332 0.0200 0.3714 7.4 5fty:A, 5fty:B, 4uie:A, 4uj7:A, 4uj8:A, 4uj8:B, 4uj8:C, 4uj8:D
15 5dx5:A 399 100 0.0767 0.0752 0.3000 7.9 5dx5:B
16 3hvo:A 559 36 0.0332 0.0233 0.3611 9.0 3hvo: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).
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