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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
NTDTLERVTEIFKALGDYNRIRIMELLSVSEASVGHISHQLNLSQSNVSHQLKLLKSVHLVKAKRQGQSMIYSLDDIHVA
TMLKQAIHHANHPKE

The query sequence (length=95) 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 6cdb:A 97 94 0.9789 0.9588 0.9894 2.29e-64 6cda:A, 6cdb:B, 4ggg:A, 4ggg:B, 2m30:A, 2m30:B, 1r1v:A
2 1r23:A 104 88 0.3263 0.2981 0.3523 1.25e-10 1r22:A, 1r22:B, 1r23:B
3 6o8m:A 95 74 0.2737 0.2737 0.3514 1.02e-08
4 2jsc:B 97 81 0.2737 0.2680 0.3210 1.26e-08 2jsc:A
5 1u2w:B 107 83 0.2842 0.2523 0.3253 1.22e-07 1u2w:A, 1u2w:C
6 4omy:A 97 68 0.2211 0.2165 0.3088 2.58e-05 4omy:B, 4omy:C, 4omy:D, 4on0:A, 4on0:B, 4on0:C, 4on0:D
7 5lqw:F 218 83 0.2105 0.0917 0.2410 1.1
8 7dco:R 261 67 0.1895 0.0690 0.2687 1.1 7b9v:M, 6bk8:G, 6exn:M, 5gm6:R, 5gmk:R, 6j6g:R, 6j6h:R, 6j6n:R, 6j6q:R, 5lj3:M, 5lj5:M, 5mps:M, 5mq0:M, 3tp2:A, 3tp2:B, 3u1l:A, 3u1m:A, 5wsg:R, 5y88:N, 5ylz:N
9 4kdp:A 151 43 0.1263 0.0795 0.2791 2.0 4ejv:A, 4ejv:B, 4ejw:A, 4ejw:B, 4kdp:B, 4kdp:C, 4kdp:D, 3kp2:A, 3kp2:B, 3kp3:B, 3kp4:A, 3kp4:B, 3kp5:A, 3kp5:B
10 6vu9:A 631 57 0.1789 0.0269 0.2982 2.3
11 8y6u:H 92 81 0.2316 0.2391 0.2716 8.6 8y6u: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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