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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
EVLVVTSKVKKLIKEKGQMNTSAETIDVLSKAIEQLCLKGVESAKADGRKTVMARDIVIDH

The query sequence (length=61) 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 8fw7:D 63 61 1.0000 0.9683 1.0000 7.20e-38 9ezz:A, 9f0e:A, 8fw7:H
2 5gsm:A 786 32 0.2459 0.0191 0.4688 0.90 5gsm:B
3 1jhd:A 396 42 0.2459 0.0379 0.3571 0.90
4 2cyb:A 319 60 0.2623 0.0502 0.2667 1.0 2cyb:B
5 3ty7:B 454 49 0.2951 0.0396 0.3673 3.2
6 8gk3:A 473 58 0.2951 0.0381 0.3103 3.6 8gk3:J, 8gk3:B, 8gk3:I, 8gk3:C, 8gk3:K, 8gk3:D, 8gk3:E, 8gk3:F, 8gk3:G, 8gk3:H, 7mk8:A, 7mk8:B, 7uff:A
7 4tsd:B 181 34 0.2295 0.0773 0.4118 5.4 4tsd:A
8 7b5s:H 216 31 0.1803 0.0509 0.3548 5.6
9 7b5l:H 423 31 0.1803 0.0260 0.3548 5.9 7b5n:H, 4kc9:A, 5udh:A
10 5tte:B 442 31 0.1803 0.0249 0.3548 5.9 7b5m:H, 2m9y:A, 1wd2: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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