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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
DNFLKIERLAENDLPKFIQLIRLFEAVFEMKNFSIPDSEHLQKLLNQNNFYVFVALLENKIVGGLTSYVLEQYYSEKPLA
YIYDLAVDTNWQRQGIGKKLITATNQFYTEKGFEEVFVQADKVDDYALDFARSTKPTAEEQVVHFYYTLK

The query sequence (length=150) 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 5f47:B 152 150 0.9933 0.9803 0.9933 7.30e-108 5f47:A, 5f48:A, 5f48:B, 5f49:A, 5f49:B, 5f49:C, 5f49:D, 5u08:A, 5u08:B, 5u08:C, 5u08:D
2 6bvc:A 154 110 0.2800 0.2727 0.3818 1.36e-15 1bo4:A, 1bo4:B
3 5hmn:B 159 145 0.3067 0.2893 0.3172 2.38e-15 5hmn:A, 5hmn:C, 5hmn:E, 5hmn:F
4 3pp9:A 176 86 0.1667 0.1420 0.2907 3.65e-05 3pp9:B, 3pp9:C
5 7pj3:AAA 273 101 0.2200 0.1209 0.3267 0.009 7pj4:AAA, 7pj5:AAA, 7pj6:AAA, 7pl3:A, 7pod:A
6 7mx2:A 152 95 0.1467 0.1447 0.2316 0.014 7rb3:A
7 9evq:B 214 127 0.2067 0.1449 0.2441 0.023 9evq:A, 9f5q:A, 9f5q:B
8 2bei:A 156 147 0.2267 0.2179 0.2313 0.047 2q4v:A
9 7l1k:A 149 103 0.1667 0.1678 0.2427 0.094
10 6q1r:B 284 139 0.2000 0.1056 0.2158 0.10 6q1r:A, 6q1r:C, 6q1r:D, 6q1s:A, 6q1s:B, 6q1s:C, 6q1s:D
11 7ovv:B 196 63 0.1267 0.0969 0.3016 0.39 7ovv:A
12 5kf2:A 317 43 0.0933 0.0442 0.3256 0.59 5kf1:A, 5kf1:B, 5kf8:A, 5kf9:A, 5kga:A, 5kga:B, 5kgh:A, 5kgh:B, 5kgj:A, 5kgp:A, 5kgp:B
13 8iyo:D 163 124 0.1933 0.1779 0.2339 0.72 8iyo:A, 8iyo:B, 8iyo:C
14 7daj:B 150 48 0.1067 0.1067 0.3333 0.82 7daj:A, 7dak:A, 7dak:B, 7dal:A, 7dal:B
15 8p0t:M 212 93 0.1533 0.1085 0.2473 0.86 8p0t:a
16 1qsm:D 152 101 0.1733 0.1711 0.2574 0.94 1qsm:A, 1qsm:B, 1qsm:C
17 1wwz:A 157 58 0.1200 0.1146 0.3103 0.97 1wwz:B
18 4pv6:G 154 70 0.1200 0.1169 0.2571 0.99 4pv6:C, 4pv6:I, 4pv6:F, 4pv6:A, 4pv6:H, 4pv6:J, 4pv6:E
19 5us1:A 189 30 0.0667 0.0529 0.3333 1.00 7jzs:A, 5us1:B, 5us1:C, 5us1:D, 5us1:E, 5us1:F, 5us1:G, 5us1:H, 5us1:I, 5us1:K, 5us1:L, 6vou:A, 6vou:B, 6vr2:A, 6vr2:B, 6vr3:A, 6vr3:B, 6vta:A, 6vta:B
20 2cnm:A 151 98 0.1733 0.1722 0.2653 1.2 2cnm:B, 2cnm:C, 2cns:A, 2cns:B, 2cns:C, 2cnt:A, 2cnt:B, 2cnt:C, 2cnt:D
21 5fok:A 656 38 0.1067 0.0244 0.4211 1.4 5fok:B
22 6d7j:A 799 81 0.1267 0.0238 0.2346 1.5 6d7j:D
23 2q0y:A 153 84 0.1267 0.1242 0.2262 1.5
24 3jb9:B 904 55 0.1267 0.0210 0.3455 2.2
25 6o07:C 139 59 0.1267 0.1367 0.3220 2.5
26 7nac:n 425 28 0.0800 0.0282 0.4286 2.5 7btb:n, 6c0f:n, 6cb1:n, 6elz:n, 6em1:n, 6em3:n, 6em4:n, 6em5:n, 6ft6:n, 3jct:n, 6m62:n, 7ohq:n, 7ohr:n, 7ohs:n, 7ohv:n, 7ohw:n, 7r6q:n, 7r7a:n, 7u0h:n, 7uoo:n, 7uqb:n, 7uqz:n, 7v08:n, 8v83:n, 8v84:n, 8v87:n, 6ylx:n, 6yly:n, 5z3g:M
27 1i1d:D 161 23 0.0733 0.0683 0.4783 2.7 1i12:A, 1i12:B, 1i12:C, 1i12:D, 1i1d:A, 1i1d:B, 1i1d:C
28 3l2p:A 535 41 0.0933 0.0262 0.3415 2.8
29 4ua3:B 193 107 0.1467 0.1140 0.2056 2.9 4ua3:A
30 6hd7:v 161 66 0.1400 0.1304 0.3182 3.9 4xnh:C, 4xpd:C, 4y49:C, 4y49:I, 4y49:O
31 6ygb:A 159 51 0.0867 0.0818 0.2549 7.4 6ygc:A, 6ygd:A
32 7agj:A 731 55 0.1267 0.0260 0.3455 7.4 7agj:B
33 6z00:A 156 72 0.1133 0.1090 0.2361 8.3 6yzz:A, 6z00:B
34 8heh:B 147 44 0.0867 0.0884 0.2955 8.3 8heh:A
35 4ag7:A 165 116 0.2000 0.1818 0.2586 8.5 4ag7:B, 4ag9:A, 4ag9:B
36 1cf2:P 336 47 0.1000 0.0446 0.3191 9.0 1cf2:R, 1cf2:O, 1cf2:Q
37 5vc7:A 544 22 0.0600 0.0165 0.4091 9.1 5vc7:C, 5vc7:D, 5vc7:E, 5vc7:F, 5vc7:G
38 6v3t:A 213 36 0.0867 0.0610 0.3611 9.4 6v3t:B, 6v3t:C, 6v3t:D, 6v3t:E, 6v3t:G

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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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