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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
FCEKYKQTKEQALTFFQEHPQYMRSKEDEEQLMTEFKKVLLEPGSKNLSIYQTLLAAHERLQA

The query sequence (length=63) 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 6xfk:A 63 63 1.0000 1.0000 1.0000 1.54e-41
2 1p5j:A 319 44 0.2381 0.0470 0.3409 0.070
3 1xc3:A 295 59 0.3175 0.0678 0.3390 0.47 3lm9:A, 3ohr:A
4 8fnc:5 297 39 0.2381 0.0505 0.3846 1.3 8fn6:5, 8fnf:5, 8fni:5, 8fnk:5
5 8jp0:A 719 48 0.2381 0.0209 0.3125 1.7
6 6m23:A 936 26 0.1905 0.0128 0.4615 2.1 6m23:B
7 6xyw:AF 84 25 0.1746 0.1310 0.4400 2.3
8 8cip:A 665 31 0.1587 0.0150 0.3226 2.7 8cip:B, 8cip:C, 8cip:D
9 7tei:B 1042 44 0.2222 0.0134 0.3182 3.1
10 5z99:A 485 48 0.2222 0.0289 0.2917 7.6 5yyb:A, 5yyb:B
11 7xzi:A 1598 39 0.2063 0.0081 0.3333 9.6
12 7vcf:A 1496 39 0.2063 0.0087 0.3333 9.8
13 2pv7:B 280 38 0.2063 0.0464 0.3421 9.9 2pv7: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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