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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
GMLETPVTSAPIVATYLSNLPAYRTGVAPVLRGVEIGLAHGFLLAGPFIKLGPLRNVPETAEIAGSLSAAGLVLILALCL
SIYGSAQFQPLFSADGWSEFAAGFLVGGEAGVAWAYVC

The query sequence (length=118) 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 6jo5:L 118 118 1.0000 1.0000 1.0000 2.48e-80 6ijj:L, 6ijo:L, 6jo6:L, 7zq9:L2
2 7d0j:L 159 136 1.0000 0.7421 0.8676 4.49e-76 7bgi:L, 7blx:L, 7dz7:L, 7dz8:L, 8h2u:L, 7zq9:L, 7zqc:L, 7zqd:L, 7zqd:L2
3 6sl5:L 155 135 0.8136 0.6194 0.7111 1.65e-58
4 8cmo:L 123 122 0.7712 0.7398 0.7459 8.61e-57
5 7a4p:L 140 120 0.7034 0.5929 0.6917 4.69e-53
6 7yca:L 158 135 0.7119 0.5316 0.6222 5.75e-51
7 6zzx:L 157 137 0.7034 0.5287 0.6058 3.90e-50 6zzy:L
8 6igz:L 155 138 0.7373 0.5613 0.6304 5.15e-48
9 8htu:L 163 136 0.6441 0.4663 0.5588 4.86e-42 7ksq:L, 7kux:L, 6l35:L, 7xqp:L
10 7y5e:LN 140 123 0.5339 0.4500 0.5122 3.72e-37 7y5e:L2, 7y7a:L7, 7y7a:Lo
11 7y7b:L 150 123 0.5085 0.4000 0.4878 9.69e-37 7y8a:L
12 8wgh:L 162 136 0.5932 0.4321 0.5147 1.21e-36
13 8wm6:L 151 123 0.5254 0.4106 0.5041 2.36e-36 8wmj:L, 8wmv:L, 8wmw:L
14 6fos:L 140 122 0.5169 0.4357 0.5000 2.71e-36 7blz:L, 5zgb:L, 5zgh:L
15 7dr0:L 131 126 0.5169 0.4656 0.4841 2.49e-35 7dr1:L, 7dr2:aL, 7dr2:bL, 7dr2:cL, 7dr2:dL
16 6kif:L 164 131 0.5339 0.3841 0.4809 1.68e-33 6kif:n, 6kif:V, 6kig:L, 6kig:n, 6kig:V
17 2o01:L 164 135 0.6780 0.4878 0.5926 2.38e-33 7wfd:AL, 7wg5:AL, 2wsc:L, 2wse:L, 2wsf:L
18 7fix:L1 152 123 0.4831 0.3750 0.4634 2.75e-33 4fe1:L, 7fix:L2, 7fix:L3, 1jb0:L, 6k33:aL, 6k33:bL, 6k33:cL, 6lu1:L, 7m75:L, 7m76:L, 7m78:L, 3pcq:L, 6pfy:L, 6pfy:h, 6pfy:U, 6pgk:L, 6pgk:h, 6pgk:U, 6tra:L, 6trc:L, 6trc:l, 6trc:0, 6trd:L, 6trd:l, 6trd:0, 5zf0:L1, 5zf0:L2, 5zf0:L3, 5zf0:L4, 5zf0:L6, 5zf0:L5
19 8wey:L 121 117 0.4746 0.4628 0.4786 1.54e-32
20 4rku:L 163 136 0.6525 0.4724 0.5662 3.55e-32 7dkz:L, 8j6z:L, 8j7a:L, 8j7b:L, 5l8r:L, 3lw5:L, 7wfe:BL, 7wg5:BL, 4xk8:L, 4xk8:l, 4y28:L, 6yac:L, 6yez:L, 6zoo:L, 6zxs:L
21 5oy0:L 157 123 0.4915 0.3694 0.4715 1.37e-31 8am5:l, 8asl:l, 8asp:l, 6hqb:L, 4l6v:L, 4l6v:l, 4l6v:8, 6nwa:L, 6nwa:U, 6nwa:l, 5oy0:l, 5oy0:0, 7umh:L, 7umh:U, 7umh:l, 6uzv:L, 6uzv:0, 6uzv:l
22 6tcl:L2 167 132 0.5000 0.3533 0.4470 4.57e-31 6jeo:aL, 6jeo:bL, 6jeo:cL, 6jeo:dL, 6k61:L, 6k61:l, 6tcl:L1, 6tcl:LL, 6tcl:L
23 7y3f:1 466 128 0.5169 0.1309 0.4766 2.14e-30
24 5zji:L 166 136 0.6186 0.4398 0.5368 2.73e-30 8bcv:L, 8bcw:L, 7ew6:L, 7ewk:L, 7f9o:L, 7f9o:o
25 7qco:L 150 129 0.4576 0.3600 0.4186 6.81e-30 7qco:S, 7qco:s, 7qco:l
26 6l4u:L 137 122 0.5339 0.4599 0.5164 2.37e-28
27 6kmx:aL 172 133 0.4661 0.3198 0.4135 2.62e-28 6kmx:bL, 6kmx:cL
28 6ly5:l 144 129 0.5339 0.4375 0.4884 4.75e-27
29 6kmw:aL 144 126 0.4153 0.3403 0.3889 8.36e-26 6kmw:cL, 6kmw:bL
30 7lx0:U 163 133 0.3814 0.2761 0.3383 5.59e-24 7lx0:L, 7lx0:l, 6pnj:L, 6pnj:U, 6pnj:l
31 7coy:aL 147 124 0.4322 0.3469 0.4113 1.02e-23 7coy:cL, 7coy:bL, 7dwq:L
32 6vpv:L 160 114 0.4237 0.3125 0.4386 2.31e-23 6vpv:l, 6vpv:0
33 7s3d:L 170 132 0.3898 0.2706 0.3485 2.68e-22 7s3d:l, 7s3d:U
34 7f4v:aL 129 101 0.3729 0.3411 0.4356 3.07e-18 7f4v:cL, 7f4v:bL
35 8jjr:l 253 122 0.3729 0.1739 0.3607 4.96e-16
36 8jze:l 250 110 0.3898 0.1840 0.4182 6.80e-16 8jzf:l
37 8jw0:l 253 95 0.2966 0.1383 0.3684 1.00e-15
38 5b7g:A 249 93 0.2034 0.0964 0.2581 4.5 5b7g:B, 5b7n:A, 5b7n:B, 5b7p:A, 5b7p:B

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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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