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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
HGYVSSIQACGQTYPGADPHNPNPESPGWQAENTDLGFVEPSAFSTPAIACHKNARAPPAHATVQAGSTIKLTWNTWPES
HHGPVLDYIAPCNGDCSSASAGSLNFVKIAEKGLISGSNPGFWAADELIQNGNSWEVTIPANLAPGKYVLRHEIIALHSA
GNPNGAQAYPQCINLEVTGGGSATPSGQPATSFYSPNDPGILFNLYQSFDSYPIPGPAVW

The query sequence (length=220) 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 7ntl:A 220 220 1.0000 1.0000 1.0000 2.10e-162
2 7a8v:A 230 226 0.5545 0.5304 0.5398 4.37e-84
3 5x6a:A 229 227 0.5727 0.5502 0.5551 8.06e-84 6h1z:A, 6h1z:B, 6ha5:A, 6ha5:B, 6haq:A, 6haq:B, 5x6a:B
4 7ova:DDD 231 226 0.5682 0.5411 0.5531 1.00e-83 7ova:AAA, 7ova:BBB, 7ova:CCC
5 8b4g:AAA 228 226 0.5545 0.5351 0.5398 1.60e-80 7pu1:AAA, 7pu1:BBB, 7pz3:A, 7pz4:A, 7pz5:A, 7pz6:A, 7pz7:A, 7pz8:A, 7q1k:A, 2yet:A, 2yet:B, 3zud:A
6 5o2w:A 248 225 0.5318 0.4718 0.5200 5.17e-73 5o2x:A
7 7vfc:A 228 227 0.5136 0.4956 0.4978 5.66e-71
8 2vtc:A 228 200 0.4409 0.4254 0.4850 6.52e-63 2vtc:B
9 5nns:A 225 230 0.4091 0.4000 0.3913 8.03e-43 5nns:B
10 4eis:A 225 227 0.4136 0.4044 0.4009 4.31e-38 4eis:B
11 5nlt:B 227 195 0.3318 0.3216 0.3744 5.91e-31 5nlt:A, 5nlt:C, 5nlt:D, 5nlt:E, 5nlt:F, 6ydc:A, 6ydc:B, 6ydc:C, 6ydc:D, 6ydd:A, 6ydd:B, 6yde:A, 6ydf:A, 6ydf:B
12 4d7u:A 227 152 0.3000 0.2907 0.4342 3.85e-28 4d7u:B, 4d7v:A, 4d7v:B
13 5ufv:A 228 234 0.3545 0.3421 0.3333 5.24e-28 5ufv:B, 5ufv:C, 5ufv:D, 5ufv:E, 5ufv:F
14 5foh:A 218 165 0.2636 0.2661 0.3515 1.42e-24
15 4eir:A 223 172 0.2636 0.2601 0.3372 3.63e-23 4eir:B, 7t5c:A, 7t5c:B, 7t5d:A, 7t5d:B, 7t5e:A, 7t5e:B, 5tkf:A, 5tkf:C, 5tkf:B, 5tkf:D, 5tkg:A, 5tkg:B, 5tkh:A, 5tkh:B, 5tki:A, 5tki:B
16 8b7p:AAA 213 180 0.3182 0.3286 0.3889 3.44e-22 8b7p:BBB, 8b7p:CCC, 8b7p:DDD
17 5acf:A 235 195 0.3227 0.3021 0.3641 3.93e-21 5acg:A, 5ach:A, 5aci:A, 5acj:A, 8e1w:A, 5n04:A, 5n05:A, 7nim:A, 7nin:A, 5nkw:A, 5nln:A, 5nlo:A, 5nlp:A, 5nlq:A, 5nlr:A, 5nls:A, 7pqr:A, 7ptz:AAA, 7pxi:A, 7pxj:A, 7pxk:A, 7pxl:A, 7pxm:A, 7pxn:A, 7pxr:A, 7pxs:A, 7pxt:A, 7pxu:A, 7pxv:A, 7pxw:A, 7pyd:A, 7pye:A, 7pyf:A, 7pyg:A, 7pyh:A, 7pyi:A, 7pyl:A, 7pym:A, 7pyn:A, 7pyo:A, 7pyp:A, 7pyq:A, 7pyu:A, 7pyw:A, 7pyx:A, 7pyy:A, 7pyz:A, 7pz0:A, 6ydg:A
18 6rs6:A 221 209 0.2818 0.2805 0.2967 9.80e-18 6rs9:A
19 4b5q:A 217 190 0.3091 0.3134 0.3579 1.18e-17 4b5q:B
20 7exk:A 217 187 0.3136 0.3180 0.3690 2.04e-17 7exk:B, 7exk:C, 7exk:D, 7exk:E, 7exk:F
21 3eii:A 208 199 0.3364 0.3558 0.3719 7.29e-17 3eii:B, 3eii:C, 3eii:D, 3eja:A, 3eja:B, 3eja:C, 3eja:D
22 4qi8:A 214 192 0.2909 0.2991 0.3333 1.65e-16 4qi8:B
23 6z9l:A 744 36 0.0636 0.0188 0.3889 3.6 6z9k:A, 6z9k:B
24 7p04:A 1353 57 0.0773 0.0126 0.2982 5.3 7p05:A
25 7p06:A 1350 57 0.0773 0.0126 0.2982 5.5
26 4mai:A 187 49 0.0818 0.0963 0.3673 6.0 4mah:A
27 8dku:A 395 56 0.0909 0.0506 0.3571 7.4 8dky:A, 8dky:B, 8dn8:A, 8dn8:C, 8dnc:A, 8dne:A, 8dne:C, 8dou:A, 8dou:C, 7k2t:A, 7k2t:C, 6m96:A
28 4v6w:Az 837 27 0.0500 0.0131 0.4074 8.8

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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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