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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
THEIETVERIILAAGSSAASLADLTTELGLARIAPVLIDEILFRAEPAPDIERTEVAVQITHRGETVDFVLTLQSGELIK
AEQRPVGDVPLRIGYELTDLIAELFGPGAPRAVGARSTNFLRTTTSGSIPGPSELSDGFQAISAVVAGCGHRRPDLNLLA
SHYRTDKWGGLHWFTPLYERHLGEFRDRPVRILEIGVGGYNFDGGGGESLKMWKRYFHRGLVFGMDVFDKSFLDQQRLCT
VRADQSKPEELAAVDDKYGPFDIIIDDGSHINGHVRTSLETLFPRLRSGGVYVIEDLWTTYAPGFGGQAQCPAAPGTTVS
LLKNLLEGVQHEEQPHAGSYEPSYLERNLVGLHTYHNIAFLEKGVNAEGGVPAWVPRSLDDI

The query sequence (length=382) 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 8iaa:B 383 382 1.0000 0.9974 1.0000 0.0 8ia9:A, 8ia9:B, 8iaa:A
2 3sso:B 394 380 0.4476 0.4340 0.4500 1.42e-112 3ssm:A, 3ssm:C, 3ssm:D, 3ssn:A, 3ssn:D, 3ssn:C, 3sso:A, 3sso:C, 3sso:D, 3sso:E, 3sso:F
3 3ssn:B 350 380 0.3901 0.4257 0.3921 8.93e-83
4 3vyy:A 86 45 0.0445 0.1977 0.3778 2.2 3vyy:B
5 2rh4:B 268 43 0.0340 0.0485 0.3023 2.8 3csd:B, 3csd:A, 4dbz:A, 4dbz:B, 4dc0:A, 4dc0:B, 4dc1:A, 4dc1:B, 3qrw:A, 3qrw:B, 2rh4:A, 2rhc:B, 2rhc:A, 2rhr:B, 2rhr:A, 3ri3:B, 3ri3:A, 1w4z:A, 1w4z:B, 1x7g:A, 1x7g:B, 1x7h:A, 1x7h:B, 1xr3:A, 1xr3:B
6 8bd3:1 214 30 0.0288 0.0514 0.3667 4.1 8bd3:7
7 2dwc:B 409 41 0.0366 0.0342 0.3415 5.9 2dwc:A
8 6o6c:B 1165 91 0.0654 0.0215 0.2747 6.6 5c44:B, 2e2h:B, 9ja1:B, 2nvz:B, 6upy:B, 2yu9:B
9 5c4j:B 1157 91 0.0654 0.0216 0.2747 6.6 4a3b:B, 4a3c:B, 4a3d:B, 4a3e:B, 4a3f:B, 4a3g:B, 4a3i:B, 4a3j:B, 4a3k:B, 4a3l:B, 4a3m:B, 4a93:B, 2b63:B, 2b8k:B, 6blo:B, 6blp:B, 6bm2:B, 6bm4:B, 6bqf:B, 4by1:B, 4by7:B, 2e2j:B, 3gtl:B, 3gtm:B, 3gto:B, 3gtp:B, 3gtq:B, 3h3v:C, 3hou:B, 3hou:N, 3hov:B, 3how:B, 3hox:B, 3hoy:B, 3hoz:B, 6i84:B, 3j0k:B, 2ja5:B, 2ja6:B, 2ja7:B, 2ja7:N, 2ja8:B, 7ked:B, 7kee:B, 7kef:B, 3m3y:B, 3m4o:B, 7ml4:B, 7nkx:B, 7nky:B, 2nvq:B, 2nvt:B, 2nvx:B, 5ot2:B, 3po3:B, 3qt1:B, 2r7z:B, 1r9t:B, 2r92:B, 2r93:B, 7riq:B, 7riw:B, 7rix:B, 7riy:B, 3rzd:B, 3rzo:B, 3s14:B, 3s15:B, 3s16:B, 3s17:B, 3s1m:B, 3s1n:B, 3s1q:B, 3s1r:B, 3s2d:B, 3s2h:B, 1sfo:B, 8ukq:B, 8ukr:B, 8uks:B, 8ukt:B, 8uku:B, 6upx:B, 6upz:B, 6uq0:B, 6uq1:B, 6uq2:B, 6uq3:B, 2vum:B, 4x67:B, 4x6a:B, 1y1v:B, 1y1w:B, 4y52:B, 1y77:B, 4y7n:B
10 8tvy:B 1207 91 0.0654 0.0207 0.2747 6.7 3gtg:B, 3gtj:B, 3gtk:B, 8jch:B, 8k5p:B, 7o4k:B, 7o4l:B, 5u5q:B, 5vvr:B, 5vvs:B
11 3k7a:B 1122 89 0.0654 0.0223 0.2809 6.7
12 8cen:B 1180 91 0.0654 0.0212 0.2747 6.8 4bbr:B, 4bbs:B, 5c3e:B, 5c4a:B, 5c4x:B, 8ceo:B, 2e2i:B, 3fki:B, 5fmf:B, 5fyw:B, 5fz5:B, 6gyk:B, 6gyl:B, 6gym:B, 3i4m:B, 3i4n:B, 5ip7:B, 5ip9:B, 3k1f:B, 7mei:b, 7mei:B, 7mk9:B, 7mka:b, 7ml0:B, 7ml1:B, 7ml2:B, 7o4i:B, 7o4j:B, 7o72:B, 7o73:B, 7o75:B, 5oqj:B, 5oqm:B, 3po2:B, 7rim:B, 7rip:B, 5sva:B, 4v1m:B, 4v1n:B, 4v1o:B, 7zs9:B, 7zsa:B, 7zsb:B
13 4bxx:B 1097 91 0.0654 0.0228 0.2747 6.9 4bxz:B, 3cqz:B, 1i3q:B, 1i50:B, 1i6h:B, 1k83:B, 1nik:B, 2nvy:B, 1r5u:B, 1r9s:B, 1twa:B, 1twc:B, 1twf:B, 1twg:B, 1twh:B, 5w4u:B, 5w51:B, 1wcm:B
14 1cm5:A 759 108 0.0628 0.0316 0.2222 8.2 1cm5:B, 1h16:A, 1h17:A, 1h18:A, 1h18:B, 1mzo:A, 1mzo: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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