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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
PETSDIQTYTSINKYEVPPAYSRLPLTSGRFGTDNFDFTPFNNTEYSGLDPDVDNHYTNAIIQLYRFIPEMFNFVVGCLK
DENFETTLLTDLGYLFDMMERSHGKICSSSNFQASLKSLTDKRQEEYLESLCIRESIEDFNSSESIKRNMPQKFNRFLLS
QLIKEEAQTVNHNITLNQCFGLETEIRTECSCDHYDTTVKLLPSLSISGINKTGQNILPYIEYAMKNVTQKNSICPTCGK
TETITQECTVKNLPSVLSLELSLLDTEFSNIRSSKNWLTSEFYGSIIKNKAVLRSTASELKGTSHIFKYELNGYVAKITD
NNNETRLVTYVKKYNPKENCFKWLMFNDYLVVEITEEEALKMTYPWKTPEIIIYCDAEELRKPFFSVDTYSINYDILFRD
YFANGIRDTARREYKLLTHDEAPKSGTLVAIDAEFVSLQSELCEIDHIRPKRTALARISIIRGEEGELYGVPFVDDYVVN
TNHIEDYLTRYSGILPGDLDPEKSTKRLVRRNVVYRKVWLLMQLGCVFVGHGLNNDFKHININVPRNQIRDTAIYFLQGK
RYLSLRYLAYVLLGMNIQEGNHDSIEDAHTALILYKKYLHLKEKAIFEKVLNSVYEEGRAHNFKVPE

The query sequence (length=627) 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 6r5k:A 1040 626 0.9984 0.6019 1.0000 0.0 4q8h:A, 6r9m:A, 6r9p:A, 6r9q:A
2 6r9j:A 595 630 0.9330 0.9832 0.9286 0.0 6r9o:A
3 4q8g:B 353 384 0.5630 1.0000 0.9193 0.0 4q8g:A
4 4czw:A 609 640 0.3270 0.3366 0.3203 4.35e-90
5 1wlj:A 168 159 0.0766 0.2857 0.3019 1.82e-08
6 5z9x:A 288 207 0.0861 0.1875 0.2609 7.19e-06
7 2ddo:A 263 146 0.0558 0.1331 0.2397 0.10 2ddw:A, 2ddw:B
8 3mhs:A 455 131 0.0558 0.0769 0.2672 0.19 6aqr:A, 4fip:A, 4fip:E, 4fjc:A, 4fk5:A, 6t9l:K, 4w4u:A, 4wa6:A, 4zux:U, 4zux:Z, 4zux:e, 4zux:j
9 4fjc:E 434 136 0.0526 0.0760 0.2426 0.51 3m99:A, 3mhh:A
10 3d1c:A 358 79 0.0351 0.0615 0.2785 1.1
11 8cnr:A 548 85 0.0383 0.0438 0.2824 1.2 8cns:A
12 4a6a:A 189 57 0.0271 0.0899 0.2982 1.3 4a6a:E, 4a6a:B, 4a6a:D, 4a6a:C, 4a6a:F, 4a6a:G, 4a6a:K, 4a6a:H, 4a6a:J, 4a6a:I, 4a6a:L, 2qxx:A, 2qxx:B
13 5wch:A 350 225 0.0781 0.1400 0.2178 1.5 5wch:B, 5wch:C, 5wch:D
14 5t0w:A 229 63 0.0255 0.0699 0.2540 3.4 5t0w:B, 5t0w:C, 5t0w:D
15 6iil:A 341 350 0.1005 0.1848 0.1800 3.5 6iik:A, 6iik:B, 6iil:B, 6iim:A, 6iim:B, 6iin:A, 6iin:B
16 4han:A 293 80 0.0399 0.0853 0.3125 4.5 7aen:A, 7aen:B, 7als:A, 7als:B, 3ap4:A, 3ap4:B, 3ap4:C, 3ap4:D, 3ap6:A, 3ap6:B, 3ap6:C, 3ap6:D, 3ap7:A, 3ap9:A, 4bmb:A, 4bme:A, 4bme:B, 8cm8:A, 8cm8:B, 4fqz:A, 4gxl:A, 5gzc:A, 5gzd:A, 5gze:A, 5gzf:A, 5gzg:A, 4han:B, 7p11:A, 7p11:B, 7p1m:A, 7p1m:B, 5t7i:A, 5t7s:A, 5t7t:A, 5t7u:A, 3vkl:A, 3vkl:B, 3vkm:A, 3vkm:B, 3vko:A, 3vko:B, 5vwg:A, 6w4z:A, 6w4z:B, 2yxs:A, 6z6y:A
17 3cc2:V 65 20 0.0175 0.1692 0.5500 8.9 3cc4:V, 3cc7:V, 3cce:V, 3ccj:V, 3ccl:V, 3ccm:V, 3ccq:V, 3ccr:V, 3ccs:V, 3ccu:V, 3ccv:V, 3cd6:V, 3cma:V, 3cme:V, 3cpw:U, 3cxc:U, 1ffk:S, 3g4s:V, 3g6e:V, 3g71:V, 3i55:V, 3i56:V, 1jj2:U, 1k73:W, 1k8a:W, 1k9m:W, 1kc8:W, 1kd1:W, 1kqs:U, 1m1k:W, 1m90:W, 1n8r:W, 1nji:W, 2otj:V, 2otl:V, 3ow2:U, 1q7y:W, 1q81:W, 1q82:W, 1q86:W, 2qa4:V, 2qex:V, 1qvf:U, 1qvg:U, 1s72:V, 4v4p:AW, 4v4r:B2, 4v4s:B2, 4v4t:B2, 4v9f:V, 1vq4:V, 1vq5:V, 1vq6:V, 1vq7:V, 1vq8:V, 1vq9:V, 1vqk:V, 1vql:V, 1vqm:V, 1vqn:V, 1vqo:V, 1vqp:V, 1w2b:U, 1yhq:V, 1yi2:V, 1yij:V, 1yit:V, 1yj9:V, 1yjn:V, 1yjw:V
18 3llt:A 341 90 0.0383 0.0704 0.2667 9.8

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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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