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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
HHHHHDDLTDAELAADLAADAGKLLLQVRAEIGFDQPWTLGEAGDRQANSLLLRRLQAERPGDAVLSEEAHDDLARLKSD
RVWIIDPLDGTREFSTPGRDDWAVHIALWRRSPEITDAAVALPARGNVVYRTDTVTSVPGTLRIAVSATRPPAVLHRIRQ
TLAIQPVSIGSAGAKAMAVIDGYVDAYLHAGGQWEWDSAAPAGVMLAAGMHASRLDGSPLRYNQLDPYLPDLLMCRAEVA
PILLGAIADAWR

The query sequence (length=252) 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 5djj:A 257 258 0.9921 0.9728 0.9690 4.32e-176 5djg:A, 5djh:A, 5dji:A, 5djk:A
2 2wef:A 303 164 0.1825 0.1518 0.2805 2.02e-05 1jp4:A
3 2p3n:A 256 103 0.1151 0.1133 0.2816 2.08e-05 2p3n:B, 2p3n:C, 2p3n:D
4 5zon:A 256 64 0.1071 0.1055 0.4219 1.13e-04 5yht:A, 5yht:B, 5zon:B, 5zon:C, 5zon:D
5 6giu:A 275 234 0.2024 0.1855 0.2179 1.38e-04 4as4:A, 4as4:B, 1awb:A, 1awb:B, 6giu:B, 6gj0:A, 6gj0:B, 2hhm:A, 2hhm:B, 1ima:A, 1ima:B, 1imb:A, 1imb:B, 1imc:A, 1imc:B, 1imd:A, 1imd:B, 1ime:A, 1ime:B, 6zk0:AAA, 6zk0:BBB
6 4qxd:B 289 146 0.1548 0.1349 0.2671 2.36e-04 4qxd:A
7 5dw8:A 260 194 0.1786 0.1731 0.2320 2.69e-04 5dw8:B, 5j16:A, 5j16:B, 5j16:C, 5j16:D
8 2bji:A 274 87 0.0992 0.0912 0.2874 8.11e-04 2bji:B
9 3lv0:A 258 64 0.0952 0.0930 0.3750 0.001 3luz:A, 3lv0:B
10 5eq9:B 260 106 0.1190 0.1154 0.2830 0.002 5eq8:A, 5eq9:A, 5eq9:C, 5eq9:D, 5t3j:A
11 5eyg:B 265 195 0.1587 0.1509 0.2051 0.003 5eyg:A, 5eyh:A, 5eyh:B, 5f24:A, 5f24:B, 4g61:A, 4g61:B, 4i3e:A, 4i3e:B, 4i3y:A, 4i3y:B, 4i40:A, 4i40:B, 4ptk:A, 4ptk:B, 3ryd:A, 3ryd:C
12 8wdq:A 273 196 0.2183 0.2015 0.2806 0.006 8wdq:B
13 3luz:B 234 64 0.0952 0.1026 0.3750 0.019
14 6ib8:B 270 50 0.0635 0.0593 0.3200 0.021 6ib7:A, 6ib8:A, 2qfl:A, 6tqn:T, 6tqn:S, 6tqo:T, 6tqo:S
15 2czi:A 259 244 0.2381 0.2317 0.2459 0.031 2czh:B
16 5q0c:A 328 73 0.0833 0.0640 0.2877 0.058 5et6:A, 5et6:C, 5et6:B, 5et6:D, 4he0:A, 4he1:A, 4he2:A, 3ifa:A, 3ifa:B, 3ifa:C, 3ifa:D, 3ifc:A, 3ifc:B, 3ifc:C, 3ifc:D, 5k56:A, 5l0a:A, 5q0c:B, 5q0c:C, 5q0c:D, 5q0c:E, 5q0c:F, 5q0c:G, 5q0c:H
17 4as5:A 274 216 0.2024 0.1861 0.2361 0.066 4as5:B, 4as5:C, 4as5:D
18 5k55:A 290 49 0.0714 0.0621 0.3673 0.27 5et8:A
19 8f9y:A 352 220 0.2103 0.1506 0.2409 0.89
20 5cd4:F 363 132 0.1310 0.0909 0.2500 1.3 5cd4:B, 5cd4:C, 5cd4:D, 5cd4:E, 5cd4:G, 5cd4:N, 5cd4:O, 5cd4:P, 5cd4:Q, 5cd4:R, 5cd4:S, 5h9e:E, 5h9e:F, 5h9e:G, 5h9e:H, 5h9e:I, 5h9f:E, 5h9f:F, 5h9f:G, 5h9f:H, 5h9f:I, 4qyz:D, 4qyz:E, 4qyz:F, 4qyz:G, 4qyz:H, 4tvx:F, 4tvx:D, 4tvx:E, 4tvx:C, 4tvx:B, 4tvx:G, 4tvx:R, 4tvx:P, 4tvx:Q, 4tvx:O, 4tvx:N, 4tvx:S, 4u7u:E, 4u7u:F, 4u7u:G, 4u7u:H, 4u7u:I, 4u7u:J, 4u7u:Q, 4u7u:R, 4u7u:S, 4u7u:T, 4u7u:U, 4u7u:V
21 4qyz:I 256 132 0.1310 0.1289 0.2500 1.6
22 1k9y:A 354 46 0.0675 0.0480 0.3696 5.9 1k9z:A, 1ka0:A, 1ka1:A, 1qgx:A
23 1otw:A 255 41 0.0635 0.0627 0.3902 5.9 3hlx:A, 3hlx:D, 3hml:A, 3hml:B, 3hnh:A, 4ny7:A, 4ny7:B, 1otw:B
24 6sup:A 2128 86 0.0794 0.0094 0.2326 6.0
25 6c4m:C 418 54 0.0675 0.0407 0.3148 6.2

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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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