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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
RFLCGVVEGFYGRPWVMEQRKELFRRLQKWELNTYLYAPKDDYKHRMFWREMYSVEEAEQLMTLISAAREYEIEFIYAIS
PGLDITFSNPKEVSTLKRKLDQVSQFGCRSFALLFDDIDHNMCAADKEVFSSFAHAQVSITNEIYQYLGEPETFLFCPTE
YCGTFCYPNVSQSPYLRTVGEKLLPGIEVLWTGPKVVSKEIPVESIEEVSKIIKRAPVIWDNIHANDYDQKRLFLGPYKG
RSTELIPRLKGVLTNPNCEFEANYVAIHTLATWYKSNMNGVRDVLYSPQMALKLALTEWLQEFGVPHQY

The query sequence (length=309) 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 5m7t:A 451 309 0.9871 0.6763 0.9871 0.0 5m7s:A, 5m7s:B, 5m7t:B, 5m7u:A, 5m7u:B, 7ou6:AAA, 7ou6:BBB, 6pm9:A, 6pm9:B, 6pm9:C, 6pm9:D, 5uhl:A, 5uhl:C, 5uho:A, 5uho:C
2 7yeh:C 344 309 0.9644 0.8663 0.9644 0.0
3 5vvx:C 431 304 0.9579 0.6868 0.9737 0.0 5un8:A, 5un8:C, 5un8:B, 5un8:D, 5un9:A, 5un9:B, 5vvt:A, 5vvt:C, 5vvu:A, 5vvu:C, 5vvv:A, 5vvv:C
4 7khs:A 449 302 0.3883 0.2673 0.3974 2.47e-78 7khs:B, 7khs:D, 2xsb:A
5 7khs:C 427 302 0.3657 0.2646 0.3742 4.66e-67
6 5diy:A 463 304 0.3463 0.2311 0.3520 3.50e-55 5diy:B
7 7ou8:AAA 714 270 0.3236 0.1401 0.3704 5.33e-49 5abe:A, 5abe:B, 5abf:A, 5abf:B, 5abg:A, 5abg:B, 5abh:A, 5abh:B, 4ais:A, 4ais:B, 4aiu:A, 2chn:A, 2chn:B, 2cho:A, 2cho:B, 5fky:A, 5fky:B, 5fl0:A, 5fl0:B, 5fl1:A, 5fl1:B, 2j47:A, 2j4g:A, 2j4g:B, 2jiw:A, 2jiw:B, 7k41:A, 5mi4:A, 5mi5:A, 5mi6:A, 5mi7:A, 7ou8:BBB, 4ur9:A, 4ur9:B, 2vvn:A, 2vvn:B, 2vvs:A, 2w4x:A, 2w66:A, 2w66:B, 2w67:A, 2w67:B, 2wca:A, 2wzh:A, 2wzi:A, 2wzi:B, 2x0h:A, 2x0h:B, 2xj7:A, 2xj7:B, 2xm1:A, 2xm1:B, 2xm2:A, 2xm2:B
8 2v5d:A 722 278 0.3074 0.1316 0.3417 3.62e-44 2cbi:A, 2cbi:B, 2cbj:A, 2cbj:B, 2j1a:A, 2j1e:A, 2j62:A, 2j62:B, 2j7m:A, 7khv:A, 7khv:B, 7khv:C, 7khv:D, 7khv:E, 7khv:F, 5oxd:A, 6rhe:A, 2v5c:A, 2v5c:B, 2vur:A, 2vur:B, 2wb5:A, 2wb5:B, 2x0y:A, 2x0y:B, 2xpk:A, 2xpk:B, 2ydq:A, 2ydr:A, 2yds:A, 4zxl:A
9 6pv4:C 608 293 0.2460 0.1250 0.2594 2.09e-23 6pv4:A, 6pv4:B, 6pv4:D
10 3rf7:A 362 40 0.0388 0.0331 0.3000 0.41
11 2a0i:A 293 164 0.1424 0.1502 0.2683 0.41
12 4ged:A 268 59 0.0647 0.0746 0.3390 0.88 5al9:A, 5ala:A, 5ala:B, 5amm:A, 5amm:B, 3riv:A, 3riv:B, 3riw:A, 3riw:B
13 7f4v:aF 151 57 0.0550 0.1126 0.2982 1.1 7f4v:bF, 7f4v:cF
14 5l22:B 540 65 0.0615 0.0352 0.2923 1.4 5l22:A
15 5zzo:F 199 109 0.0777 0.1206 0.2202 2.2 5zzo:A, 5zzo:B, 5zzo:C, 5zzo:D, 5zzo:E
16 8dmu:A 476 87 0.0874 0.0567 0.3103 2.7 8dmu:B, 8dmu:C, 8dmu:D
17 3j9w:BJ 123 77 0.0583 0.1463 0.2338 3.8 7as8:L, 7as9:L, 5njt:b, 7o5b:p, 7ope:L, 7qgu:H, 7qh4:H, 6tnn:b, 6tpq:b
18 6ji2:A 432 67 0.0550 0.0394 0.2537 5.1 4cxg:A, 4cxh:A, 6ji2:E, 3vmf:A, 3wxm:A, 3wxm:C, 3wxm:E, 3wxm:G
19 7t9g:A 445 73 0.0518 0.0360 0.2192 7.2 4f35:D, 4f35:A, 4f35:C, 6okz:C, 6okz:B, 7t9g:Y, 6wtx:C, 6wtx:D, 6wtx:A, 6wtx:B
20 7x2u:A 541 39 0.0421 0.0240 0.3333 7.7 7x2u:B
21 8r3q:D 676 50 0.0615 0.0281 0.3800 8.0 8r3q:B, 8r3q:A, 8r3q:C
22 1kq3:A 364 39 0.0421 0.0357 0.3333 8.6
23 5k8c:A 358 40 0.0356 0.0307 0.2750 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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