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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
MITFIGHVSKDVNVVDGKREIAYGGGVVMGAITSSLLGVKTKVITKCTREDVSKFSFLRDNGVEVVFLKSPRTTSIENRY
RESFLISAADPFTESDLAFIEGEAVHINPLWYGEFPEDLIPVLRRKVMFLSADAQGFVRVPENEKLVYRDWEMKEKYLKY
LDLFKVDSREAETLTGTNDLRESCRIIRSFGAKIILATHASGVIVFDGNFYEASFRSWSLEGRTGRGDTCTAAFLVGFVF
KKMSIEKATKFAAAVTSVKMRHPGPLRREDLEAI

The query sequence (length=274) 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 5ysq:B 280 280 1.0000 0.9786 0.9786 0.0 7e4l:A, 7e4l:B, 5ysp:A, 5ysp:B, 5ysq:A
2 3kd6:A 300 131 0.1460 0.1333 0.3053 4.27e-08 3kd6:B
3 1v1a:A 301 312 0.2701 0.2458 0.2372 1.72e-04 1v1a:B, 1v1b:A, 1v1b:D, 1v1b:B, 1v1b:C
4 2dcn:A 308 115 0.1058 0.0942 0.2522 0.001 2dcn:B, 2dcn:C, 2dcn:D, 2dcn:E, 2dcn:F, 2dcn:G, 2dcn:H, 2dcn:I, 2dcn:J, 2dcn:K, 2dcn:L
5 4xck:A 306 112 0.1058 0.0948 0.2589 0.026 4xck:B, 4xck:C, 4xck:D, 4xda:A, 4xda:B, 4xda:C, 4xda:D
6 4xf6:A 273 186 0.1715 0.1722 0.2527 0.090 4xf6:B, 4xf7:A, 4xf7:B
7 6ils:B 313 124 0.1204 0.1054 0.2661 0.12 6ils:A, 6ilt:A, 6ilt:B
8 3ivt:B 400 91 0.0912 0.0625 0.2747 0.26 3ivs:A, 3ivs:B, 3ivt:A, 3ivu:A, 3ivu:B, 3mi3:A, 3mi3:B
9 8oix:H 204 118 0.1131 0.1520 0.2627 0.95 8oix:V
10 1jg1:A 215 68 0.0693 0.0884 0.2794 1.8 1jg2:A, 1jg3:A, 1jg3:B, 1jg4:A
11 4w6q:B 332 25 0.0401 0.0331 0.4400 2.4 4w6q:A, 4w6q:C, 4w6q:D
12 4edh:B 209 36 0.0438 0.0574 0.3333 4.8 4e5u:A, 4e5u:B, 4edh:A, 4gmd:A, 4gmd:B, 4gmd:C, 4gmd:D, 3uwk:A, 3uwk:B, 3uwo:A, 3uwo:B, 3uxm:A, 3uxm:B, 3uxm:C, 3uxm:D
13 4muz:A 212 27 0.0401 0.0519 0.4074 6.8 4muz:B
14 2gie:A 257 80 0.0657 0.0700 0.2250 7.9 3e3y:A, 3e3y:B, 3e40:A, 3e40:B, 3e41:A, 3e41:B, 3e42:A, 3e42:B, 3e43:A, 3e43:B, 3e44:A, 3e44:B, 3e45:A, 3e45:B, 3ebc:A, 3ebc:B, 2gie:B, 2gie:C, 2gie:D, 2gig:A, 2gig:B, 2gih:A, 2gih:B, 2gii:A, 2gii:B, 2gij:A, 2gij:B, 1kc6:A, 1kc6:B, 1kc6:C, 1kc6:D, 1tw8:A, 1tw8:B, 1tw8:C, 1tw8:D, 1tx3:A, 1tx3:B, 1tx3:C, 1tx3:D, 1xhu:A, 1xhu:B, 1xhu:C, 1xhu:D, 1xhv:A, 1xhv:B, 1xhv:C, 1xhv:D
15 7udu:D 701 31 0.0474 0.0185 0.4194 8.2 7rb8:D
16 7orl:A 2183 103 0.0912 0.0115 0.2427 8.2 7oa4:AAA, 7oa4:BBB, 7oa4:DDD, 7oa4:GGG, 7ork:A, 7plr:AAA, 7plr:BBB, 7plr:DDD, 7plr:GGG, 2xi5:A, 2xi5:B, 2xi5:C, 2xi5:D, 2xi7:A, 2xi7:B, 2xi7:C, 2xi7:D
17 7orj:A 2129 103 0.0912 0.0117 0.2427 8.5
18 4s0r:D 447 28 0.0438 0.0268 0.4286 8.8 4lnf:A, 4lnf:B, 4lnf:C, 4lnf:D, 4lnf:E, 4lnf:F, 4lnf:G, 4lnf:H, 4lnf:I, 4lnf:J, 4lnf:K, 4lnf:L, 4lni:A, 4lni:B, 4lni:C, 4lni:D, 4lni:E, 4lni:F, 4lni:G, 4lni:H, 4lni:I, 4lni:J, 4lni:K, 4lni:L, 4lnk:A, 4lnk:B, 4lnk:C, 4lnk:D, 4lnk:E, 4lnk:F, 4lnn:A, 4lnn:B, 4lnn:C, 4lnn:D, 4lnn:E, 4lnn:F, 4lnn:G, 4lnn:H, 4lnn:I, 4lnn:J, 4lnn:K, 4lnn:L, 4lno:A, 4lno:B, 4lno:C, 4lno:D, 4lno:E, 4lno:F, 4s0r:A, 4s0r:C, 4s0r:F, 4s0r:G, 4s0r:I, 4s0r:E, 4s0r:L, 4s0r:M, 4s0r:J, 4s0r:K, 4s0r:N, 4s0r:B, 4s0r:H, 7tfc:B, 7tfc:C, 7tfc:Q, 7tfc:R, 7tfc:F, 7tfc:G, 7tfc:H, 7tfc:P, 7tfc:O, 7tfc:S, 7tfc:I, 7tfc:N, 7tfc:T, 7tfc: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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