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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 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
GSKATDSVLQGSEGNKVKRTSCMYGANCYRKNPVHFQHFSHPGDSDYGGVQIVGQDETDDRPECPYGPSCYRKNPQHKIE
YRHNTLPVRNV

The query sequence (length=91) 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 2kuo:A 91 91 1.0000 1.0000 1.0000 9.17e-66 2kqb:A, 2kqc:A, 2kqd:A, 2kqe:A
2 7unf:P 468 84 0.2747 0.0534 0.2976 0.50 9b8p:D, 7khr:F, 7u8r:D, 7uzf:F, 7uzg:F, 6vq7:E, 6vq8:D, 6vqa:E, 6vqb:D, 6wlz:F, 6wm2:F, 6wm3:E
3 2xgj:B 777 46 0.1099 0.0129 0.2174 3.2
4 7ynd:A 1567 42 0.1319 0.0077 0.2857 6.7
5 3ff6:A 750 26 0.1099 0.0133 0.3846 6.8 3ff6:B, 3ff6:C, 3ff6:D, 3tdc:A
6 2hmc:A 314 39 0.1209 0.0350 0.2821 7.2
7 1cle:A 534 15 0.0879 0.0150 0.5333 7.2 1cle:B, 1llf:A, 1llf:B
8 8v9l:x 387 31 0.1099 0.0258 0.3226 8.5 7vok:A, 7vok:B, 7vok:C, 7vok:D
9 7vmx:B 359 31 0.1099 0.0279 0.3226 8.6

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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)(download the PDF file).
  • 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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