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●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
PCQNHHCKHGKVCELDENNTPMCVCQDPTSCPAPIGEFEKVCSNDNKTFDSSCHFFATKCTLEGTKKGHKLHLDYIGPCK
YIPPCLDSELTEFPLRMRDWLKNVLVTLYERDEDNNLLTEKQKLRVKKIHENEKRLEAGDHPVELLARDFEKNYNMYIFP
VHWQFGQLDQHPIDGYLSHTELAPLRAPLIPMEHCTTRFFETCDLDNDKYIALDEWAGCFGIKQKDIDKDLVI

The query sequence (length=233) 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 1bmo:A 233 233 1.0000 1.0000 1.0000 4.90e-177 1bmo:B, 1nub:A, 1nub:B, 1sra:A, 2v53:A
2 7kbu:A 221 231 0.5880 0.6199 0.5931 2.07e-102 7kbu:B
3 2p6a:C 282 90 0.1202 0.0993 0.3111 2.96e-04 1lr7:A, 1lr8:A
4 2p6a:C 282 79 0.1073 0.0887 0.3165 0.090 1lr7:A, 1lr8:A
5 5joj:A 97 79 0.1030 0.2474 0.3038 0.017
6 7xzi:D 101 42 0.0644 0.1485 0.3571 0.42
7 1k26:A 150 39 0.0386 0.0600 0.2308 1.2
8 6hiv:Cv 1059 70 0.0944 0.0208 0.3143 1.7 6hiw:Cv, 6hiy:Cv, 7pub:Cv
9 8bav:C 264 77 0.0901 0.0795 0.2727 3.7 8bav:D
10 4v12:A 337 69 0.0858 0.0593 0.2899 4.0
11 8ban:C 251 77 0.0901 0.0837 0.2727 4.9 8ban:D, 8bbj:C, 8bbj:D
12 2b5w:A 357 52 0.0515 0.0336 0.2308 5.9 2b5v:A, 2vwg:A, 2vwh:A, 2vwp:A, 2vwq:A
13 6b03:A 896 22 0.0386 0.0100 0.4091 8.4 6b05:A, 6brs: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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