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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
QNFLLDLRLTDKIVRKAGSLADVYVYEVGPGPGGITRSILNANVAELLVVEKDTRFIPGLQMLSDAAPGKLRIVHGDVLT
YKIEKAFPGNIRRQWEDDPPNVHIIGNLPFSVSTPLIIKWLENISLKDGPFVYGRTKMTLTFQKEVAERLVATTGSKQHS
RLSIMAQYLCNVEHLFTIPGKAFVPKPKVDVGVVHLTPLIEPKIKQPFKLVEKVVQNAFQFRRKYCHRGLGMLFPEAQRL
ESTGRLLQLADIDPTLRPTHLSLMHFKSLCDVYRKMCDEDPQLFTYNFREELKQKKSKG

The query sequence (length=299) 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 4gc9:A 318 293 0.9799 0.9214 1.0000 0.0 7pnt:c
2 8csp:5 319 294 0.8629 0.8088 0.8776 0.0 6aax:A, 6aax:C, 6ajk:A, 8csq:5, 8csr:5, 8csu:5
3 8eyt:W 254 272 0.2843 0.3346 0.3125 3.12e-30 4adv:V, 7afo:Y, 7o5h:V
4 6ift:A 292 275 0.2742 0.2808 0.2982 1.34e-27 7v2l:W, 7v2m:U, 7v2m:W, 7v2n:U, 7v2o:U, 7v2p:U, 7v2q:U, 7v2q:W
5 3fux:C 265 275 0.3110 0.3509 0.3382 8.85e-27 3fuu:A, 3fuw:A, 3fux:A, 3fux:B
6 8x3w:A 270 230 0.2408 0.2667 0.3130 1.43e-22 8x3w:B, 8x41:A, 8x41:B, 8x44:A, 8x44:B, 8x45:A, 8x45:B, 8x46:A, 8x46:B, 8x47:A, 8x4i:A, 8x4l:A, 8x4l:B, 8x4o:A, 8x4o:B, 8x4p:A, 8x4p:B
7 3grr:A 263 198 0.1940 0.2205 0.2929 2.82e-18 3gru:A, 3grv:A, 3gry:A
8 7mqa:NL 278 200 0.2140 0.2302 0.3200 2.05e-17 7wts:3, 1zq9:A, 1zq9:B
9 7aju:JL 283 199 0.2074 0.2191 0.3116 5.71e-12 8cbj:y, 6rbd:y, 7wtl:JL, 7wtm:JL, 6zqd:JL, 6zqe:JL, 6zqf:JL, 6zqg:JL
10 3ftf:A 246 257 0.2508 0.3049 0.2918 1.21e-09 3fte:A, 3r9x:B
11 6erp:F 288 214 0.1773 0.1840 0.2477 1.50e-09 6erp:J, 6erq:F, 6erq:J
12 7f8b:A 245 281 0.2542 0.3102 0.2705 4.33e-08 7f8c:A
13 1qan:A 236 283 0.2241 0.2839 0.2367 1.34e-05 1qao:A, 1qaq:A
14 8att:B 340 69 0.0602 0.0529 0.2609 0.040 8ap1:B, 8atv:B, 8atw:B, 8c5s:B, 8c5u:B, 8q63:B, 6ymv:B, 6ymw:B
15 2jfn:A 266 131 0.0870 0.0977 0.1985 0.68
16 2r72:A 765 75 0.0669 0.0261 0.2667 1.8
17 7aih:U 92 50 0.0569 0.1848 0.3400 2.3 7ane:U
18 4fo8:C 266 30 0.0368 0.0414 0.3667 5.6 4fo7:A, 4fo7:B, 4fo7:C, 4fo7:D, 4fo8:A, 4fo8:B, 4fo8:D, 4juq:A, 4juq:B, 4juq:C, 4juq:D
19 3cmv:G 1167 140 0.1304 0.0334 0.2786 6.1 3cmv:B, 3cmv:E
20 3cmv:G 1167 140 0.1304 0.0334 0.2786 6.1 3cmv:B, 3cmv:E
21 3cmv:G 1167 140 0.1304 0.0334 0.2786 6.1 3cmv:B, 3cmv:E
22 3cmv:A 1190 140 0.1304 0.0328 0.2786 6.1 3cmv:C, 3cmv:D, 3cmv:F, 3cmv:H, 1n03:A, 1n03:B, 1n03:C, 1n03:D, 1n03:E, 1n03:F, 1n03:G, 1rea:A, 1u94:A, 1u99:A, 1xms:A
23 3cmv:A 1190 140 0.1304 0.0328 0.2786 6.1 3cmv:C, 3cmv:D, 3cmv:F, 3cmv:H, 1n03:A, 1n03:B, 1n03:C, 1n03:D, 1n03:E, 1n03:F, 1n03:G, 1rea:A, 1u94:A, 1u99:A, 1xms:A
24 3cmv:A 1190 140 0.1304 0.0328 0.2786 6.1 3cmv:C, 3cmv:D, 3cmv:F, 3cmv:H, 1n03:A, 1n03:B, 1n03:C, 1n03:D, 1n03:E, 1n03:F, 1n03:G, 1rea:A, 1u94:A, 1u99:A, 1xms:A
25 8wm6:b 194 82 0.0669 0.1031 0.2439 6.5 8wmj:b, 8wmv:b, 8wmw:b
26 8pjb:A 962 65 0.0602 0.0187 0.2769 7.9 8b9g:A, 8b9k:A, 8pjj:A
27 6l7v:A 180 33 0.0435 0.0722 0.3939 8.9 6l7w:B
28 5aor:A 1009 65 0.0602 0.0178 0.2769 8.9 5aor:B, 8b9i:A, 8b9j:A
29 6of2:B 528 153 0.1237 0.0701 0.2418 9.8 6of2:E, 6of3:B, 6of3:E

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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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