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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
MYVKLISSDGHEFIVKREHALTSGTIKAMLSNEVNFREIPSHVLSKVCMYFTYKVRYTNSSTEIPEFPIAPEIALELLMA
ANFLDC

The query sequence (length=86) 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 6gmn:K 87 86 0.9884 0.9770 0.9884 2.45e-60 3dcg:D, 3dcg:B, 6gmx:K
2 2jz3:C 96 96 1.0000 0.8958 0.8958 2.73e-57 9bju:K, 6gmn:B, 6gmx:B
3 1hv2:A 99 93 0.3953 0.3434 0.3656 2.09e-15
4 8zuh:B 137 86 0.3605 0.2263 0.3605 1.32e-04
5 6oh9:A 452 35 0.1628 0.0310 0.4000 3.7 6oha:A
6 2vd8:A 387 35 0.1628 0.0362 0.4000 4.8 2vd8:B, 2vd9:A, 2vd9:B
7 8gm4:A 462 41 0.1163 0.0216 0.2439 5.2
8 8fny:A 497 41 0.1163 0.0201 0.2439 5.3 8fny:C, 8fo6:A, 8gm5:A, 7shq:A
9 1j1t:A 228 86 0.2558 0.0965 0.2558 5.4 4q8k:A, 4q8l:A, 4q8l:B
10 3esw:A 333 38 0.1279 0.0330 0.2895 9.7 1x3w:A, 1x3z: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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