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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
SNMVKIVTVKTQAYQDQKPGTSGLRKRVKVFQSSANYAENFIQSIISTVEPAQRQEATLVVGGDGRFYMKEAIQLIARIA
AANGIGRLVIGQNGILSTPAVSCIIRKIKAIGGIILTASHNPGGPNGDFGIKFNISNGGPAPEAITDKIFQISKTIEEYA
VCPDLKVDLGVLGKQQFDLENKFKPFTVEIVDSVEAYATMLRSIFDFSALKELLSGPNRLKIRIDAMHGVVGPYVKKILC
EELGAPANSAVNCVPLEDFGGHHPDPNLTYAADLVETMKSGEHDFGAAFDGDGDRNMILGKHGFFVNPSDSVAVIAANIF
SIPYFQQTGVRGFARSMPTSGALDRVASATKIALYETPTGWKFFGNLMDASKLSLCGEESFGTGSDHIREKDGLWAVLAW
LSILATRKQSVEDILKDHWQKYGRNFFTRYDYEEVEAEGANKMMKDLEALMFDRSFVGKQFSANDKVYTVEKADNFEYSD
PVDGSISRNQGLRLIFTDGSRIVFRLSGAGATIRLYIDSYEKDVAKINQDPQVMLAPLISIALKVSQLQERTGRTAPTVI
T

The query sequence (length=561) 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 6sno:A 573 561 0.9216 0.9023 0.9216 0.0 1c47:A, 1c4g:A, 5epc:A, 5epc:B, 5f9c:A, 5jn5:A, 5jn5:B, 3pmg:A, 3pmg:B, 7s0w:A, 6snp:A, 6snq:A, 5tr2:A, 5tr2:B, 6uiq:B, 6uiq:A, 6uo6:A, 6uo6:B, 5vbi:A, 5vbi:B, 5vec:A, 5vec:B, 5vg7:A, 5vg7:B, 5vin:A, 5vin:B
2 7s0w:B 499 540 0.8877 0.9980 0.9222 0.0
3 6y8y:A 572 565 0.6756 0.6626 0.6708 0.0 6y8x:AA, 6y8z:A
4 7p5o:B 558 570 0.5312 0.5341 0.5228 0.0 7p5o:A
5 7pjc:B 553 566 0.5241 0.5316 0.5194 0.0 7pjc:A
6 1kfq:A 571 580 0.5169 0.5079 0.5000 0.0 1kfi:A, 1kfi:B, 1kfq:B
7 4qg5:A 565 575 0.4938 0.4903 0.4817 4.12e-178 4qg5:B, 4qg5:C, 4qg5:D
8 1wqa:A 455 480 0.2139 0.2637 0.2500 2.55e-19 1wqa:B, 1wqa:C, 1wqa:D
9 2fuv:A 545 403 0.1943 0.2000 0.2705 9.19e-16 2fuv:B, 3na5:A, 3na5:B, 3olp:A, 3olp:B
10 4il8:A 459 278 0.1337 0.1634 0.2698 1.93e-11 3bkq:X, 3c04:A, 2fkf:A, 2fkm:X, 2h4l:X, 2h5a:X, 1k2y:X, 1k35:A, 4mrq:A, 1p5d:X, 1p5g:X, 1pcj:X, 1pcm:X, 3rsm:A
11 3uw2:A 458 315 0.1444 0.1769 0.2571 3.49e-08
12 7ojr:A 445 386 0.1480 0.1865 0.2150 4.39e-06 7oml:A
13 3i3w:A 441 412 0.1693 0.2154 0.2306 2.02e-05 3i3w:B
14 4hjh:A 467 253 0.1070 0.1285 0.2372 1.50e-04 4hjh:B
15 5bmp:A 449 383 0.1658 0.2071 0.2428 1.63e-04 5bmn:A, 5kl0:A, 6mlf:A, 6mlh:A, 6mlw:A, 6mnv:A, 6n1e:A, 6nn1:A, 6nn2:A, 6nnn:A, 6nno:A, 6nnp:A, 6nns:A, 6nnt:A, 6nnu:A, 6nol:A, 6noq:A, 6np8:A, 6npx:A, 6nqe:A, 6nqf:A, 6nqg:A, 6nqh:A
16 2dkc:A 536 109 0.0535 0.0560 0.2752 0.80 2dkc:B, 2dkd:A, 2dkd:B
17 7sqc:1C 1700 56 0.0357 0.0118 0.3571 0.86 7sqc:1D
18 6bcu:A 2204 207 0.0873 0.0222 0.2367 1.3 6bcu:B, 6bcx:A, 6bcx:B, 4drh:B, 4drh:E, 4dri:B, 4drj:B, 8er6:B, 8er6:D, 8er6:F, 8er7:B, 8er7:D, 8er7:F, 8era:A, 9f44:A, 9f44:B, 9f45:A, 9f45:B, 1fap:B, 2fap:B, 3fap:B, 4fap:B, 5flc:B, 5flc:F, 5gpg:B, 4jsp:B, 4jsp:A, 4jsv:B, 4jsv:A, 4jsx:B, 4jsx:A, 4jt5:B, 4jt5:A, 4jt6:B, 4jt6:A, 6m4u:B, 6m4u:F, 6m4w:G, 6m4w:H, 6m4w:I, 1nsg:B, 7pe7:B, 7pe7:A, 7pe8:A, 7pe9:A, 7pea:B, 7pea:A, 7peb:A, 7pec:A, 8ppz:B, 7uxc:A, 7uxh:A, 7uxh:C, 5wbh:C, 5wbh:D, 5wbu:B, 5wbu:A, 6zwo:B
19 8rch:A 2036 113 0.0517 0.0142 0.2566 1.4 8rch:B, 8rck:B, 8rcn:B
20 7kmq:B 754 80 0.0357 0.0265 0.2500 1.4 7kmq:A
21 2fsn:B 311 195 0.0927 0.1672 0.2667 3.5 2fsn:A
22 7sqc:1B 1660 56 0.0357 0.0120 0.3571 4.4

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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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