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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
GEIEFIESSKDAGFPVINTPSKTKLEPSVFHQVFEGNKEPAVLRSGDPRLKANFEEAIFSKYIGNVNTHVDEYMLEAVDH
YAGQLATLDISTEPMKLEDAVYGTEGLEALDLTTSAGYPYVALGIKKRDILSKKTKDLTKLKECMDKYGLNLPMVTYVKD
ELRSIEKVAKGKSRLIEASSLNDSVAMRQTFGNLYKTFHLNPGVVTGSAVGCDPDLFWSKIPVMLDGHLIAFDYSGYDAS
LSPVWFACLKMLLEKLGYTHKETNYIDYLCNSHHLYRDKHYFVRGGMPSGCSGTSIFNSMINNIIIRTLMLKVYKGIDLD
QFRMIAYGDDVIASYPWPIDASLLAEAGKGYGLIMTPADKGECFNEVTWTNATFLKRYFRADEQYPFLVHPVMPMKDIHE
SIRWTKDPKNTQDHVRSLCLLAWHNGEHEYEEFIRKIRSVPVGRCLTLPAFSTLRRKWLDSFHHHHHH

The query sequence (length=468) 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 3cdu:A 468 468 1.0000 1.0000 1.0000 0.0 3cdw:A, 4k4x:A, 4k4x:E, 4k4x:I, 4k4x:M, 4k4y:A, 4k4y:E, 4k4y:I, 4k4y:M, 4k4z:A, 4k4z:E, 4k4z:I, 4k4z:M, 4y2a:A, 4y34:A
2 2ijd:1 644 462 0.7286 0.5295 0.7381 0.0 4dcd:A, 2ijd:2, 2ily:A, 2ilz:A, 2im0:A, 2im1:A, 2im2:A, 2im3:A, 4k4s:A, 4k4s:E, 4k4t:A, 4k4t:E, 4k4u:A, 4k4u:E, 4k4v:A, 4k4v:E, 4k4w:A, 4k4w:E, 3ol6:A, 3ol6:E, 3ol6:I, 3ol6:M, 3ol7:A, 3ol7:E, 3ol7:I, 3ol7:M, 3ol8:A, 3ol8:E, 3ol8:I, 3ol8:M, 3ol9:A, 3ol9:E, 3ol9:I, 3ol9:M, 3ola:A, 3ola:E, 3ola:I, 3ola:M, 3olb:A, 3olb:E, 3olb:I, 3olb:M, 1ra7:A
3 5xe0:A 457 457 0.7244 0.7418 0.7418 0.0 5zit:A
4 6lse:A 464 464 0.6667 0.6724 0.6724 0.0 5f8g:A, 5f8h:A, 5f8i:A, 5f8j:A, 5f8l:A, 5f8m:A, 5f8n:A, 4ika:A, 6kwq:A, 6kwr:A, 6lsf:A, 6lsg:A, 6lsh:A, 3n6m:A, 3n6n:A, 7w9s:A, 5y6z:A, 5y6z:E
5 4k50:A 460 463 0.5641 0.5739 0.5702 0.0 4k50:I, 4k50:E, 4k50:M, 1tp7:A
6 1rdr:A 316 286 0.4252 0.6297 0.6958 3.66e-146
7 1rdr:A 316 90 0.0962 0.1424 0.5000 2.35e-16
8 4nyz:A 460 458 0.3077 0.3130 0.3144 9.88e-77
9 4wyw:A 479 463 0.2949 0.2881 0.2981 1.72e-61 8c1n:A, 8c1n:B, 8c2p:A, 2d7s:A, 2e9r:X, 2e9t:A, 2e9t:D, 2e9z:A, 2ec0:A, 2ec0:D, 2f8e:X, 6gvy:A, 4iqx:A, 5jxs:A, 3klv:A, 3kmq:A, 3kms:A, 3kna:A, 3koa:A, 5n95:A, 3nl0:A, 3nma:A, 1wne:A, 4wyl:A, 4wzm:A, 4wzq:A, 4x2b:A
10 3qid:A 492 340 0.1838 0.1748 0.2529 7.93e-10 3nai:A, 3nai:B, 3nai:C, 4nru:A, 4nru:B, 4nru:C, 4nru:D, 4nru:E, 4nru:F, 4o4r:A, 4o4r:B, 4o4r:C, 3qid:B, 3qid:C, 3sfg:A, 3sfg:B, 3sfg:C, 3sfu:A, 3sfu:B, 3sfu:C, 3upf:A, 3upf:B, 3upf:C, 3ur0:B, 3ur0:C
11 1khw:B 497 368 0.1987 0.1871 0.2527 3.20e-09 1khw:A
12 1sh3:B 503 416 0.2179 0.2028 0.2452 4.70e-07 3bsn:A, 3bso:A, 3h5x:A, 3h5y:A, 4lq3:A, 4lq9:A, 4nrt:A, 4qpx:A, 1sh3:A, 5tsn:A
13 2ipi:A 492 92 0.0513 0.0488 0.2609 1.8 2ipi:B, 2ipi:C, 2ipi:D
14 8gjk:C 1032 154 0.0855 0.0388 0.2597 3.7 8gjl:C, 8gk0:C, 8gk4:C
15 3rwm:B 179 81 0.0491 0.1285 0.2840 5.3 3rwo:B, 3rwo:A
16 4ffg:A 480 60 0.0449 0.0437 0.3500 6.6 4ffg:B, 4ffg:C, 4ffg:D, 4ffh:A, 4ffh:B, 4ffh:C, 4ffh:D, 4ffi:A, 4ffi:B, 4ffi:C, 4ffi:D
17 3pg9:A 338 84 0.0491 0.0680 0.2738 7.8 3pg9:F, 3pg9:B, 3pg9:G, 3pg9:C, 3pg9:E, 3pg9:D, 3pg9:H, 1rzm:A, 1rzm:B
18 2jf6:B 472 55 0.0363 0.0360 0.3091 7.9 2jf6:A, 3zj7:A, 3zj7:B, 3zj8:A, 3zj8:B
19 8i7h:A 297 107 0.0641 0.1010 0.2804 10.0 8i7h:B, 8i7h:C, 8i7h:D

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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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