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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
NDYRTFKLSLLTLAPIHIGNGEKYTSREFIYENKKFYFPDMGKFYNKMVEKRLAEKFEAFLIQTRPNARNNRLISFLNDN
RIAERSFGGYSISETGLESDKNPNSAGAINEVNKFIRDAFGNPYIPGSSLKGAIRTILMNTTPKWNNENAVNDFGRFPKE
NKNLIPWGPKKGKEYDDLFNAIRVSDSKPFDNKSLILVQKWDYSAKTNKAKPLPLYRESISPLTKIEFEITTTTDEAGRL
IEELGKRAQAFYKDYKAFFLSEFPDDKIQANLQYPIYLGAGSGAWTKTLFKQADGILQRRYSRMKTKMVKKGVLKLTKAP
LKTVKIPSGNHSLVKNHESFYEMGKANFMIKEI

The query sequence (length=353) 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 6ifr:H 353 353 1.0000 1.0000 1.0000 0.0 6ifk:H, 6ifl:H, 6ifn:H, 6ifu:H, 6ify:H, 6ifz:H, 6ig0:H
2 8x5d:N 370 379 0.3059 0.2919 0.2850 2.71e-36
3 9ash:J 311 368 0.3003 0.3408 0.2880 2.19e-34 9asi:J, 6xn3:J, 6xn4:J, 6xn5:J, 6xn7:J
4 8do6:H 327 303 0.2606 0.2813 0.3036 6.05e-28 7uzz:E, 7v00:E, 7v01:E, 7v02:E
5 8wfx:N 265 210 0.1926 0.2566 0.3238 7.13e-25
6 6mur:F 377 269 0.1841 0.1724 0.2416 4.48e-08 6iqw:F, 6mus:F, 6mut:F
7 6muu:F 323 300 0.2153 0.2353 0.2533 1.32e-04
8 4qts:C 186 56 0.0708 0.1344 0.4464 4.71e-04 4qts:D
9 6o7e:Y 361 200 0.1445 0.1413 0.2550 0.005 6o7h:F, 6o7i:F
10 6s6b:D 285 119 0.0963 0.1193 0.2857 0.045 6s6b:E, 6s6b:F, 6s6b:G, 6s8b:D, 6s8b:E, 6s8b:F, 6s8b:G, 6s8e:D, 6s8e:E, 6s8e:F, 6s8e:G, 6s91:D, 6s91:E, 6s91:F, 6s91:G, 6sh8:D, 6sh8:E, 6sh8:F, 6sh8:G, 6shb:D, 6shb:E, 6shb:F, 6shb:G, 6sic:D, 6sic:E, 6sic:F, 6sic:G
11 6mur:D 287 53 0.0680 0.0836 0.4528 0.21 6iqw:C, 6iqw:D, 6mur:C, 6mus:C, 6mus:D, 6mus:K, 6mut:C, 6mut:D, 6muu:C, 6muu:D, 6o7e:C, 6o7e:D, 6o7h:C, 6o7h:D, 6o7i:C, 6o7i:D, 6o7i:K
12 8x5d:K 235 33 0.0482 0.0723 0.5152 0.32 8wfx:I, 8wfx:J, 8wfx:K, 8wfx:L, 8wfx:G, 8wfx:H, 8x5d:L, 8x5d:J, 8x5d:I, 8x5d:H
13 6s6b:I 284 140 0.0992 0.1232 0.2500 0.38 6s8b:I, 6s8e:I, 6s91:I, 6sh8:I, 6shb:I, 6sic:I
14 6ifn:F 220 47 0.0595 0.0955 0.4468 0.44 6ifk:G, 6ifk:F, 6ifk:E, 6ifl:D, 6ifl:E, 6ifl:F, 6ifn:E, 6ifn:G, 6ifr:G, 6ifr:F, 6ifr:E, 6ifu:D, 6ifu:E, 6ifu:F, 6ify:G, 6ify:F, 6ify:E, 6ifz:G, 6ifz:F, 6ifz:E, 6ig0:G, 6ig0:F, 6ig0:E, 6nud:C, 6nud:E, 6nud:N, 6nud:O, 6nud:P, 6nue:C, 6nue:E, 6nue:N, 6nue:O, 6nue:P
15 4n0l:A 335 27 0.0425 0.0448 0.5556 0.81 4n0l:B
16 8bmw:F 239 25 0.0368 0.0544 0.5200 0.95 8bmw:G
17 8do6:E 205 39 0.0425 0.0732 0.3846 1.4 8do6:G, 8do6:F, 7uzw:A, 7uzw:B, 7uzw:C, 7uzw:D, 7uzx:A, 7uzx:B, 7uzx:C, 7uzx:D, 7uzy:D, 7uzy:C, 7uzy:A, 7uzy:B, 7uzz:D, 7uzz:C, 7uzz:A, 7uzz:B, 7v00:A, 7v00:B, 7v00:C, 7v00:D, 7v01:A, 7v01:B, 7v01:C, 7v02:A, 7v02:B, 7v02:C
18 2zif:B 243 97 0.0737 0.1070 0.2680 2.1 2zif:A
19 2v9k:A 467 100 0.0680 0.0514 0.2400 3.3
20 8s9u:D 518 74 0.0652 0.0444 0.3108 3.8 8s9t:D, 8s9v:D, 8s9x:D
21 4kgn:A 139 122 0.0878 0.2230 0.2541 3.9
22 6pqr:A 468 46 0.0425 0.0321 0.3261 5.2 6pqn:A, 6pqn:B, 6pqr:D, 6pqu:A, 6pqu:E, 6pqy:A, 6pqy:D
23 3x1l:H 297 29 0.0312 0.0370 0.3793 5.5
24 6pqx:A 480 34 0.0340 0.0250 0.3529 8.4 6pqx:E, 6pr5:A, 6pr5:E
25 6xqo:I 274 23 0.0312 0.0401 0.4783 8.6

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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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