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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
GHMIKICIAGKNNIAVNSLQFILKNYFEADQIVVIPNKNDKGIDSWQKSLLKFALDNNIKIVTLDEIYNIEQIIFFSLEF
DQIIKIENFKSDRLFNIHFSALPKYKGVFTSITPILNNELESGVTLHRIDNGIDTGNIIDQHCFPIDINDTARDLYFNYL
KYGESIFKKNIQTIINNSYKDLKQTNINSSYFSRKDINLVHKINFKKTSFEIHNQIRAFIFQEYQLPIINNSKIIKSILA
NEFIGYNVFEEFENYFIISGIDGFKIIAQKLN

The query sequence (length=272) 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 4lxq:B 274 272 1.0000 0.9927 1.0000 0.0 4lxq:A, 4lxt:A, 4lxt:B, 4lxu:A, 4lxu:B, 4lxx:A, 4lxx:B, 4lxy:A, 4lxy:B, 4ly0:A, 4ly0:B, 4ly3:A, 4ly3:B
2 7n7b:B 271 270 0.7868 0.7897 0.7926 6.03e-158 7n7b:A, 7n7c:A, 7n7c:B
3 4xcz:A 397 263 0.4559 0.3123 0.4715 1.10e-69 4xd0:A, 4xd1:A
4 5uin:A 399 265 0.4596 0.3133 0.4717 2.62e-65 5uij:A, 5uij:B, 5uik:A, 5uik:B, 5uil:A, 5uil:B, 5uim:A, 5uim:B, 5uin:B
5 8gjh:A 639 220 0.2022 0.0861 0.2500 2.70e-12 8gjh:B, 8gjh:C, 8gjh:D, 8gjh:E, 8gjh:F
6 1z7e:D 644 174 0.1581 0.0668 0.2471 4.71e-12 2bln:A, 2bln:B, 5j63:A, 5j63:B, 5j63:C, 5j63:D, 1z7e:A, 1z7e:B, 1z7e:C, 1z7e:E, 1z7e:F
7 2fmt:A 314 127 0.1140 0.0987 0.2441 1.61e-09 2fmt:B
8 5vyt:C 256 240 0.2096 0.2227 0.2375 7.34e-08 5vyr:A, 5vyr:B, 5vys:A, 5vys:B, 5vyt:A, 5vyt:B, 5vyt:D, 5vyu:A, 5vyu:B
9 6edk:A 193 111 0.1397 0.1969 0.3423 2.71e-07 6ci4:A, 6ci5:A
10 3r8x:A 309 151 0.1176 0.1036 0.2119 1.73e-06
11 1c2t:A 209 65 0.0846 0.1100 0.3538 2.18e-06 1c2t:B, 1c3e:A, 1c3e:B, 1cde:A, 1cde:B, 1cde:C, 1cde:D, 1gar:A, 1gar:B, 1jkx:A, 1jkx:B, 1jkx:C, 1jkx:D
12 6nbp:A 246 143 0.1507 0.1667 0.2867 2.37e-06
13 2cfi:A 310 143 0.1360 0.1194 0.2587 2.42e-06 1s3i:A
14 4nv1:E 242 235 0.2390 0.2686 0.2766 4.85e-06 4nv1:C, 4nv1:D, 4nv1:F, 4nv1:B, 4nv1:A, 4nv1:G, 4nv1:H
15 4yfy:A 241 160 0.1654 0.1867 0.2812 7.18e-06 4yfy:B
16 6mg0:B 1687 103 0.1213 0.0196 0.3204 8.38e-06
17 6mfz:A 1789 103 0.1213 0.0184 0.3204 8.43e-06 5es7:A, 5es8:A, 5es8:B, 5es9:A, 6mfw:A, 6mfx:A, 6mfy:A, 6mg0:A, 6ulz:A
18 4qpd:A 308 123 0.1176 0.1039 0.2602 9.44e-06 4qpd:B, 4tt8:A, 4tts:A
19 2ywr:A 216 82 0.0809 0.1019 0.2683 3.04e-05
20 4ew2:A 205 88 0.0846 0.1122 0.2614 7.80e-05 4ew3:A, 8fdx:A, 8fdy:A, 8fdz:A, 8fe0:A, 8fjv:A, 8fjw:A, 8fjx:A, 8fjy:A, 5j9f:A, 7jg0:A, 7jg3:A, 7jg4:A, 1men:A, 1men:B, 1men:C, 1njs:A, 1njs:B, 1rbm:A, 1rbm:B, 1rbq:A, 1rbq:B, 1rbq:C, 1rbq:D, 1rby:A, 1rby:B, 1rby:C, 1rby:D, 1rbz:A, 1rbz:B, 1rc0:A, 1rc0:B, 1rc1:A, 1rc1:B, 1zly:A, 4zyt:A, 4zyu:A, 4zyv:A, 4zyw:A, 4zyx:A, 4zyy:A, 4zyz:A, 4zz0:A, 4zz1:A, 4zz2:A, 4zz3:A
21 6v33:A 246 119 0.1103 0.1220 0.2521 1.27e-04 6v33:B
22 5vyq:A 235 135 0.1140 0.1319 0.2296 1.40e-04 4q12:A, 4q12:B, 5vyq:B
23 3da8:A 213 54 0.0625 0.0798 0.3148 0.003 3da8:B, 3dcj:A, 3dcj:B
24 6v2t:B 251 107 0.1029 0.1116 0.2617 0.009 6v2t:A
25 1h7a:A 563 131 0.1213 0.0586 0.2519 1.00 1h78:A, 1h79:A, 1h7b:A, 1hk8:A
26 2b9i:A 338 43 0.0331 0.0266 0.2093 7.6 2b9f:A, 2b9h:A, 2b9j:A, 2f49:A, 2f49:B, 2f9g:A

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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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