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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
VSVESSWRYIDTQGQIHGPFTTQMMSQWYIGGYFASTLQISRLGSTPETLGINDIFITLGELMTKLEKYDTDPFTTFDKL
HVQTT

The query sequence (length=85) 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 3fma:C 86 85 1.0000 0.9884 1.0000 5.44e-59 3fma:A, 3fma:B, 3fma:D, 3fma:E
2 7ruq:A 63 59 0.2824 0.3810 0.4068 2.34e-10 7ruq:C
3 7rup:A 63 59 0.2471 0.3333 0.3559 8.97e-09
4 1l2z:A 62 30 0.1176 0.1613 0.3333 0.35
5 3kkj:A 328 18 0.1059 0.0274 0.5000 0.50 3kkj:B, 5krq:A, 5krq:B, 4zcc:A, 4zcc:B, 4zcc:C, 4zcc:D, 4zcd:A, 4zcd:B
6 1x87:A 495 37 0.1412 0.0242 0.3243 0.93 1x87:B
7 2fkn:B 546 37 0.1412 0.0220 0.3243 2.1 2fkn:A, 2fkn:C, 2fkn:D
8 5m1j:A6 539 32 0.1412 0.0223 0.3750 7.3
9 8q9v:A 543 38 0.1176 0.0184 0.2632 7.5 8q9u:A
10 3ne8:A 226 24 0.1059 0.0398 0.3750 8.4
11 3p27:B 444 32 0.1412 0.0270 0.3750 9.3 3p27: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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