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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
MKLQTTYPSNNYPIYVEHGAIKYIGTYLNQFDQSFLLIDEYVNQYFANKFDNVHKVIIPAGEKTKTFEQYQETLEYILSH
HVTRNTAIIAVGGGATGDFAGFVAATLLRGVHFIQVPTTILAHDSSVGGKVGINSKQGKNLIGAFYRPTAVIYDLDFLKT
LPFKQILSGYAEVYKHALLNGESATQDIEQHFKDREILQSLNGMDKYIAKGIETKLDIVVADEKEQGVRKFLNLGHTFGH
AVEYYHKIPHGHAVMVGIIYQFIVANALFDSKHDISHYIQYLIQLGYPLDTLYQYMLGVQMVLMRQFGDIVVQHVDQLTL
QHACEQLKTY

The query sequence (length=330) 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 1xag:A 353 352 1.0000 0.9348 0.9375 0.0 1xah:A, 1xah:B, 1xai:A, 1xai:B, 1xaj:A, 1xaj:B, 1xal:A, 1xal:B
2 3zok:A 365 212 0.2758 0.2493 0.4292 3.65e-52 3zok:B, 3zok:C, 3zok:D
3 6lla:B 363 197 0.2818 0.2562 0.4721 6.29e-49 6lk2:A, 6lk2:B, 6lk2:C, 6lk2:D, 6lla:A, 6lla:C, 6lla:D
4 3okf:A 360 208 0.2727 0.2500 0.4327 7.02e-49 3okf:B
5 5eks:A 355 279 0.3121 0.2901 0.3692 1.11e-47 5eks:B
6 6hqv:A 1555 229 0.2788 0.0592 0.4017 1.07e-46 6hqv:B
7 1nvb:B 391 249 0.2818 0.2379 0.3735 8.47e-46 1dqs:A, 1dqs:B, 1nr5:A, 1nr5:B, 1nrx:A, 1nrx:B, 1nua:A, 1nua:B, 1nva:A, 1nva:B, 1nvb:A, 1nvd:A, 1nvd:B, 1nve:A, 1nve:B, 1nve:C, 1nve:D, 1nvf:A, 1nvf:B, 1nvf:C, 1sg6:A, 1sg6:B
8 5hvn:A 354 304 0.3061 0.2853 0.3322 4.43e-45
9 6c5c:A 385 217 0.2667 0.2286 0.4055 1.63e-43 6c5c:B
10 3qbe:A 352 266 0.2788 0.2614 0.3459 6.83e-41 3qbd:A, 3qbd:B
11 3clh:A 308 214 0.2515 0.2695 0.3879 2.28e-38 3clh:B
12 2gru:A 367 291 0.2818 0.2534 0.3196 1.20e-34 2d2x:A, 2d2x:B, 2gru:B
13 5tpr:A 400 257 0.2061 0.1700 0.2646 5.13e-23 5tpr:B
14 4p53:A 360 240 0.1909 0.1750 0.2625 1.01e-19
15 4rgq:B 333 129 0.0970 0.0961 0.2481 6.15e-04 4rfl:A, 4rfl:B, 4rfl:C, 4rfl:D, 4rgq:A, 4rgq:C, 4rgq:D, 4rgv:A, 4rgv:B
16 3ce9:A 349 189 0.1364 0.1289 0.2381 0.004 3ce9:B, 3ce9:C, 3ce9:D
17 8k1g:A 367 168 0.1212 0.1090 0.2381 0.11 8k1h:A
18 8om2:U 237 51 0.0455 0.0633 0.2941 0.84 8d8k:U, 8d8l:U, 5mrc:UU, 5mre:UU, 5mrf:UU, 8om3:U, 8om4:U
19 7f6e:B 341 71 0.0545 0.0528 0.2535 1.4 7f6e:A, 7f6e:C, 7f6f:A, 7f6f:B, 7f6n:A, 7f6n:B, 7f6n:C, 7f6o:A, 7f6o:B, 7f6q:A, 7f6r:A, 7f6s:A, 7f6u:A
20 5yvm:A 403 118 0.0970 0.0794 0.2712 2.7 5yvr:A, 5yvs:A
21 2afb:A 329 74 0.0667 0.0669 0.2973 4.0
22 3d1v:A 288 36 0.0424 0.0486 0.3889 4.7 2a0w:A, 2a0x:A, 2a0y:A, 3bgs:A, 4ear:A, 4ear:B, 4ear:C, 4eb8:A, 4eb8:B, 4eb8:C, 5etj:A, 5etj:B, 5etj:C, 5etj:D, 5etj:E, 5etj:F, 3gb9:A, 3gb9:B, 3gb9:C, 3ggs:A, 3ggs:B, 3ggs:C, 4gka:A, 4gka:B, 4gka:C, 4gka:D, 4gka:E, 4gka:F, 3iny:A, 3k8o:E, 3k8o:Q, 3k8o:S, 3k8o:T, 3k8o:U, 3k8o:Y, 3k8q:A, 2oc4:A, 2oc9:A, 2on6:A, 1pf7:E, 3phb:E, 3phb:Q, 3phb:S, 3phb:T, 3phb:U, 3phb:Y, 1pwy:E, 2q7o:E, 1rct:E, 1rfg:E, 1rr6:A, 1rsz:A, 1rt9:A, 5ugf:A, 5ugf:B, 5ugf:C, 5ugf:D, 5ugf:E, 5ugf:F, 1v2h:E, 1v3q:E, 1v41:E, 1v45:E, 1yry:E, 7zsl:A, 7zsl:B, 7zsl:C, 7zsl:D, 7zsl:E, 7zsl:F, 7zsm:A, 7zsn:A, 7zso:A, 7zso:B, 7zso:C, 7zsp:A
23 1a9o:A 289 32 0.0364 0.0415 0.3750 4.7 1a9p:A, 1a9q:A, 1a9r:A, 1a9s:A, 1a9t:A, 2ai1:A, 2ai2:A, 2ai3:A, 1b8n:A, 1b8o:A, 3fuc:A, 3fuc:B, 3fuc:C, 1fxu:A, 1lv8:A, 1lv8:B, 1lv8:C, 1lv8:D, 1lv8:E, 1lv8:F, 1lvu:A, 1lvu:B, 1lvu:C, 1lvu:D, 1lvu:E, 1lvu:F, 2qpl:A, 1v48:A, 1vfn:A
24 8a3n:B 352 66 0.0545 0.0511 0.2727 7.4 8a3n:A
25 4ivf:F 227 45 0.0515 0.0749 0.3778 8.8 4ivf:A, 4ivf:B, 4ivf:C, 4ivf:D, 4ivf:E, 4ivf:G, 4ivf:H

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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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