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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
APSVDPTKVIFYQKKNFEGSGDTYAVGQDVSVPGSLNDKYFSVAVGASAKVIAWQHYNETGHYREWTTSQADISDIGGLS
RFRVVDDDTR

The query sequence (length=90) 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 5z6e:A 90 90 1.0000 1.0000 1.0000 3.00e-63
2 2b1o:A 212 92 0.3444 0.1462 0.3370 3.16e-07
3 3gma:B 566 82 0.2667 0.0424 0.2927 0.009 3gf3:A, 3glm:A, 3glm:C, 3glm:B, 3glm:D, 3gma:A
4 8btd:LC 315 35 0.1333 0.0381 0.3429 0.50 8br8:LC, 8brm:LC, 8bsi:LC, 8bsj:LC, 8btr:LC, 8fru:C, 7pwg:C, 7pwo:C2
5 4b28:A 437 21 0.0889 0.0183 0.3810 2.8
6 4v4n:BH 215 51 0.2000 0.0837 0.3529 3.1 5jb3:H, 5jbh:H, 6sw9:H, 6swc:H, 6swe:H, 4v6u:AH, 7zag:H, 7zah:H, 7zai:H, 7zhg:H
7 6kih:A 400 57 0.1444 0.0325 0.2281 4.3 6kih:C, 6kih:D, 6kih:E, 6kih:F, 6kih:H, 6kih:I, 6kih:K, 6kih:L, 6kih:B, 6kih:G, 6kih:J

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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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