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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
ASGEGPALYEDPPDQKTSPSGKPATLKICSWNVDGLRAWIKKKGLDWVKEEAPDILCLQETKCSENKLPAELQELPGLSH
QYWSAPSEGYSGVGLLSRQCPLKVSYGIGDEEHDQEGRVIVAEFDSFVLVTAYVPNAGRGLVRLEYRQRWDEAFRKFLKG
LASRKPLVLCGDLNVAHEEIDLRNPKGNKKNAGFTPQERQGFGELLQAVPLADSFRHLYPNTPYAYTFWTYMMNARSKNV
GWRLDYFLLSHSLLPALCDSKIRSKALGSDHCPITLYLAL

The query sequence (length=280) 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 6mkk:A 282 281 0.9857 0.9787 0.9822 0.0 6boq:A, 6bor:A, 6bos:A, 6bot:A, 6bou:A, 6bov:A, 6bow:A, 7cd5:A, 7cd6:A, 5cfg:A, 1de8:B, 1de8:A, 1de9:A, 1de9:B, 1dew:B, 1dew:A, 5dff:A, 5dfh:A, 5dfi:A, 5dfj:A, 5dg0:A, 4iem:A, 4iem:B, 4iem:C, 4iem:D, 2isi:A, 2isi:B, 2isi:C, 4lnd:A, 4lnd:B, 4lnd:C, 7lpg:D, 7lph:D, 7lpi:D, 7lpj:D, 7mcr:A, 7mev:A, 6p93:A, 6p94:A, 4qh9:A, 4qhe:A, 7suv:B, 7svb:B, 7tc2:A, 7tc2:B, 7tc2:C, 7tc2:D, 7tr7:A, 7u50:K, 3u8u:A, 3u8u:B, 3u8u:C, 3u8u:D, 3u8u:E, 3u8u:F, 6w0q:A, 6w2p:A, 6w3l:B, 6w3n:B, 6w3q:B, 6w3u:B, 6w43:A, 6w4i:A, 6w4i:B, 6w4t:A, 6w4t:B, 5wn0:A, 5wn1:A, 5wn2:A, 5wn3:B, 5wn4:B, 5wn5:B, 5wn5:A
2 5cfe:A 252 257 0.4536 0.5040 0.4942 8.54e-93
3 8igi:A 251 255 0.4571 0.5100 0.5020 5.87e-89 8igi:B
4 8ka5:A 297 263 0.4500 0.4242 0.4791 1.35e-75 8ka3:A, 8ka4:B, 8ka4:C
5 5j8n:A 258 254 0.3964 0.4302 0.4370 6.45e-68
6 3fzi:A 258 258 0.3821 0.4147 0.4147 1.45e-64 3g00:A, 3g00:B, 3g0a:A, 3g0r:A, 3g0r:B, 3g1k:A, 3g1k:B, 3g2c:A, 3g2c:B, 3g2d:A, 3g2d:B, 3g38:A, 3g3c:A, 3g3c:B, 3g3y:B, 3g3y:A, 3g4t:A, 3g4t:B, 3ga6:A, 3ga6:B, 3w2x:A, 3w2y:A, 3w2y:D
7 4b5g:A 259 252 0.3179 0.3436 0.3532 1.20e-55 4b5f:A, 4b5g:B, 4b5g:C, 4b5h:A, 4b5i:A, 4b5j:A, 4b5m:A, 4b5m:B, 4b5m:C, 2jc5:A
8 6fk4:A 257 258 0.2893 0.3152 0.3140 5.15e-31 6fk5:A, 6fke:A, 2jc4:A
9 2voa:A 257 257 0.2893 0.3152 0.3152 1.47e-30 2voa:B
10 8bvh:H 262 253 0.2571 0.2748 0.2846 5.28e-29 8bvh:I, 8bvh:B, 8bvh:G, 8bvj:Q, 8bvj:G, 8bvj:C, 8bvj:A, 8bvm:A, 8bvm:H, 8bvm:N, 6o1k:A, 6o1k:B, 6o1l:A, 6o1l:B, 6o1l:R, 6o1m:A, 6o1m:B, 6o1m:S, 6o1m:R
11 6wcd:A 314 294 0.2857 0.2548 0.2721 2.11e-20
12 7n3z:A 379 352 0.3143 0.2322 0.2500 8.95e-10 7n3y:B, 7n3y:C, 7n3y:A, 7n3y:D
13 8uw3:A 1265 262 0.2179 0.0482 0.2328 5.04e-06 7n8s:A, 7n94:A, 7n94:B, 8sp5:A, 8sp5:B, 8sp7:A, 8sxt:A, 8sxu:A, 1vyb:B
14 6ca4:C 229 86 0.0929 0.1135 0.3023 0.20
15 4fpv:B 257 84 0.0929 0.1012 0.3095 0.28 6ca4:A, 6ca4:B, 4f1h:A, 4f1h:B, 4fpv:A
16 4ruw:A 386 187 0.1643 0.1192 0.2460 0.34
17 8e59:A 1230 69 0.0750 0.0171 0.3043 0.36 8e5a:A, 8e5b:A, 7uhf:A, 7uhg:A
18 4fva:C 251 81 0.0929 0.1036 0.3210 2.0 4fva:A, 4fva:B, 4fva:D
19 6zll:A 321 26 0.0429 0.0374 0.4615 2.4 6zl6:A, 6zl6:B, 6zla:A, 6zla:B, 6zla:C, 6zla:D, 6zld:A, 6zld:B, 6zlj:A, 6zlj:B, 6zlk:A, 6zlk:B, 6zlk:C, 6zlk:D, 6zll:B, 6zll:C, 6zll:D
20 1epv:A 382 139 0.1357 0.0995 0.2734 2.4 1bd0:A, 1bd0:B, 1epv:B, 1ftx:A, 1ftx:B, 1l6f:A, 1l6f:B, 1l6g:A, 1l6g:B, 1niu:A, 1niu:B, 1sft:A, 1sft:B, 2sfp:A, 2sfp:B, 1xqk:A, 1xqk:B, 1xql:A, 1xql:B
21 8hsa:A 248 57 0.0714 0.0806 0.3509 4.3 8hs4:A, 8hs4:B, 8hs5:A, 8hs5:B, 8hsa:G, 8hsa:B, 8hsa:C, 8hsa:D, 8hsa:E, 8hsa:F, 8hsa:H
22 8cip:A 665 29 0.0500 0.0211 0.4828 4.5 8cip:B, 8cip:C, 8cip:D
23 6voy:A 276 65 0.0607 0.0616 0.2615 4.8 6voy:C, 6voy:B, 6voy:D
24 8r3q:D 676 36 0.0464 0.0192 0.3611 6.4 8r3q:B, 8r3q:A, 8r3q:C

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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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