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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
QGENISSLLRELYAKPLSERHVESDGLIFDPAQITSRTANGVAVPHGDHYHFIPYSQLSPLEEKLARIIPL

The query sequence (length=71) 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 6csl:A 71 71 1.0000 1.0000 1.0000 6.72e-48
2 2cs7:A 55 35 0.2394 0.3091 0.4857 1.64e-07 2cs7:B, 2cs7:C
3 7zc6:C 435 35 0.1972 0.0322 0.4000 0.92
4 1kfq:A 571 30 0.1831 0.0228 0.4333 1.5 1kfi:A, 1kfi:B, 1kfq:B
5 3zfj:A 119 25 0.1408 0.0840 0.4000 1.8
6 5a22:A 2002 33 0.2113 0.0075 0.4545 2.4
7 6u1x:A 2059 33 0.2113 0.0073 0.4545 2.5
8 9f7k:A 222 30 0.1690 0.0541 0.4000 3.5 9f7k:B
9 8d2k:A 1105 27 0.1549 0.0100 0.4074 5.8 8d2l:A, 8d2n:A, 8d2p:A
10 6wbr:A 942 27 0.1549 0.0117 0.4074 6.3 6wc0:A
11 3eei:A 231 24 0.1408 0.0433 0.4167 6.3 3eei:B
12 2y5s:B 281 12 0.1268 0.0320 0.7500 8.2 2y5s:A
13 7lgb:A 282 25 0.1268 0.0319 0.3600 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).
  • 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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