Information for CAZyme ID: BAZ33904.1
Basic Information
| GenBank ID | BAZ33904.1 |
| Family | GT4 |
| Sequence Length | 1018 |
| UniProt ID | A0A1Z4QUK5(100,100) |
| Average pLDDT? | 76.74 |
| CAZy50 ID | 13530 |
| CAZy50 Rep | Yes, BAZ33904.1 |
| Structure Cluster | SC_GT4_clus755 |
| EC Number(s) | - |
| Substrates(s) | - |
Taxonomy
| Tax ID | 2005457 |
| Kingdom | Bacteria |
| Phylum | Cyanobacteriota |
| Class | Cyanophyceae |
| Order | Nostocales |
| Family | Nostocaceae |
| Genus | Cylindrospermum |
| Species | Cylindrospermum sp. NIES-4074 |
Protein Sequence: 90 < plddt <=100; 70 < plddt <= 90; 50 < plddt <= 70; 0 <= plddt <= 50; Download help
| MSKQVNNSEN ITNLFTLLKQ VQLDLDAEEV ADLLWLALQM GEADVTPTVE TPVKEIPTMP | 60 |
| LATENKEPAD IQSSSQLTEN TSSSPSVPAV PRQPSEKPAP KSLPFKAPTA PGLRNLLDLG | 120 |
| RALRPLMRKV SSQTKTVLDE EETVTQFAEK GVLIPVLKPA PERWLNLALV VEESRSITIW | 180 |
| QEIIAEFQKL TELQGAFRYV SIWRLTTDDN GEIKLFSQYN LSANKQHFRS PKELLDPAGR | 240 |
| RLILLISDCT SGMWRDSQMW RDSPTGKLDT LRTILKSWSD FHPFAIVQLL PERLWMRTAM | 300 |
| GFGFPVQLNA LAPGVPNRQL IVDGLPVWED VDVAQAITVP VITLEPEYLQ QWSRVVAGVG | 360 |
| STRTVGILFE PGLMATQPQL LTDATQLSAR ELVNRFRATA SPIARRLAGL MAAVPVSLPV | 420 |
| VHLIQETMLD ESRQVHVAEV FMSGLLEPMT SNSTAPKDEI VQYEFVEGVR ELFIDSVPIP | 480 |
| NTETVLDNVS QYIAKRAGRE IKSFKALLSL NAGWDETTKQ EIIPFAEIGL QVLRRLGGEY | 540 |
| ADLAEELERE SQVILKPPDV SNNSPRLQSF KFEVATILVE DDTGFTSVQQ PKNPERRIAL | 600 |
| ISVEGDPASN NIGTGETAGQ DIYVRHVGEA LALLGWQVDM FSRKVSADQE TIVQHSRNCR | 660 |
| TIRLTAGPVE FIPRDNGFKY LPEFVEQFRE FQRENGIIYP LVHSNYWLSS WVGMQLKSIQ | 720 |
| DIKLVHTYHS LGAVKYKAIA KDNIPPVASQ RLAVEKQVLE TAERIVATSP QEKNHMRSLV | 780 |
| SSRGNIDIIP CGTDIRRFGS VERTAARADL GIDPEAKLVL YVGRFDPRKG IETLVRAVRE | 840 |
| SKLHGSQKIQ LMIGGGSTPG NSDGRERDRI EQLVNELGMS EFTSFPGRLG QEVLPTYYAA | 900 |
| ADVCVVPSHY ESFGLVAIEA MASGTPVVAS DVGGLQFTVV NEKTGLLVPP KDVAAFRNAI | 960 |
| DRILSNPEWR DELGQVGRKQ VINKFSWDGV AQQLDELYTQ LLEEPESEDP FKEPSLLS | 1018 |
Predicted 3D structure by AlphaFold2 with pLDDT = 76.74 ; Download help
pLDDT is for per-residue accuracy of the structure, which representes the quality of the residue. A higher value indicates better prediction accuracy. More detail please see AlphaFold .
Residues were colored according to plddt ( blue-> high quality; red-> low quality ).
Full Sequence: CAPSIF:V and CAPSIF:G =99.9; CAPSIF:V =59.9; CAPSIF:G =40; Non-Binding=0; Download help
| MSKQVNNSEN ITNLFTLLKQ VQLDLDAEEV ADLLWLALQM GEADVTPTVE TPVKEIPTMP | 60 |
| LATENKEPAD IQSSSQLTEN TSSSPSVPAV PRQPSEKPAP KSLPFKAPTA PGLRNLLDLG | 120 |
| RALRPLMRKV SSQTKTVLDE EETVTQFAEK GVLIPVLKPA PERWLNLALV VEESRSITIW | 180 |
| QEIIAEFQKL TELQGAFRYV SIWRLTTDDN GEIKLFSQYN LSANKQHFRS PKELLDPAGR | 240 |
| RLILLISDCT SGMWRDSQMW RDSPTGKLDT LRTILKSWSD FHPFAIVQLL PERLWMRTAM | 300 |
| GFGFPVQLNA LAPGVPNRQL IVDGLPVWED VDVAQAITVP VITLEPEYLQ QWSRVVAGVG | 360 |
| STRTVGILFE PGLMATQPQL LTDATQLSAR ELVNRFRATA SPIARRLAGL MAAVPVSLPV | 420 |
| VHLIQETMLD ESRQVHVAEV FMSGLLEPMT SNSTAPKDEI VQYEFVEGVR ELFIDSVPIP | 480 |
| NTETVLDNVS QYIAKRAGRE IKSFKALLSL NAGWDETTKQ EIIPFAEIGL QVLRRLGGEY | 540 |
| ADLAEELERE SQVILKPPDV SNNSPRLQSF KFEVATILVE DDTGFTSVQQ PKNPERRIAL | 600 |
| ISVEGDPASN NIGTGETAGQ DIYVRHVGEA LALLGWQVDM FSRKVSADQE TIVQHSRNCR | 660 |
| TIRLTAGPVE FIPRDNGFKY LPEFVEQFRE FQRENGIIYP LVHSNYWLSS WVGMQLKSIQ | 720 |
| DIKLVHTYHS LGAVKYKAIA KDNIPPVASQ RLAVEKQVLE TAERIVATSP QEKNHMRSLV | 780 |
| SSRGNIDIIP CGTDIRRFGS VERTAARADL GIDPEAKLVL YVGRFDPRKG IETLVRAVRE | 840 |
| SKLHGSQKIQ LMIGGGSTPG NSDGRERDRI EQLVNELGMS EFTSFPGRLG QEVLPTYYAA | 900 |
| ADVCVVPSHY ESFGLVAIEA MASGTPVVAS DVGGLQFTVV NEKTGLLVPP KDVAAFRNAI | 960 |
| DRILSNPEWR DELGQVGRKQ VINKFSWDGV AQQLDELYTQ LLEEPESEDP FKEPSLLS | 1018 |
Carbohydrate binding residues Predicted by CAPSIF from 3D structure; Download help
Residues were colored according to prediction score:
Nonbinder, CAPSIF:G Predicted Binder, CAPSIF:V Predicted Binder, CAPSIF:V and CAPSIF:G Predicted Binder
CArbohydrate–Protein interaction Site IdentiFier (CAPSIF) that predicts non-covalent carbohydrate-binding sites on proteins: (1) a 3D-UNet voxel-based neural network model (CAPSIF:V) and (2) an equivariant graph neural network model (CAPSIF:G).
Details:
⋆B-Factor = 0.0 : Nonbinder.
⋆B-Factor = 40.0 : CAPSIF:G Predicted Binder.
⋆B-Factor = 59.9 : CAPSIF:V Predicted Binder.
⋆B-Factor = 99.9 : CAPSIF:V and CAPSIF:G Predicted Binder.
For more detail please see CAPSIF.