P27036 AF NFT

Cyclomaltodextrin glucanotransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbd4f3gm5kqzwnweaxkknbbpc7pmm2uhgo3tmt4xztzidgxoc65u/metadata.json
IPFS of structure file: 
bafybeidbxvkg2s6hn4ibed3nsvpvg3pyun5rrzhhzns6ixikytefa2b62y/AF-P27036-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #56844 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
56844
Accession (UniProt):
P27036
Name::
Cyclomaltodextrin glucanotransferase
Experimental Method:
Predicted structure
Sequence source:
Bacillus ohbensis

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P27036 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P27036|CDGT_BACOH Cyclomaltodextrin glucanotransferase OS=Bacillus ohbensis OX=1481 GN=cgt PE=3 SV=2 MKNLTVLLKTIPLALLLFILLSLPTAAQADVTNKVNYTRDVIYQIVTDRFSDGDPSNNPTGAIYSQDCSDLHKYCGGDWQGIIDKINDGYLTDLGITAIWISQPVENVYALHPSGYTSYHGYWARDYKRTNPFYGDFSDFDRLMDTAHSNGIKVIMDFTPNHSSPALETDPSYAENGAVYNDGVLIGNYSNDPNNLFHHNGGTDFSSYEDSIYRNLYDLADYDLNNTVMDQYLKESIKLWLDKGIDGIRVDAVKHMSEGWQTSLMSDIYAHEPVFTFGEWFLGSGEVDPQNHHFANESGMSLLDFQFGQTIRDVLMDGSSNWYDFNEMIASTEEDYDEVIDQVTFIDNHDMSRFSFEQSSNRHTDIALAVLLTSRGVPTIYYGTEQYLTGGNDPENRKPMSDFDRTTNSYQIISTLASLRQNNPALGYGNTSERWINSDVYIYERSFGDSVVLTAVNSGDTSYTINNLNTSLPQGQYTDELQQLLDGNEITVNSNGAVDSFQLSANGVSVWQITEEHASPLIGHVGPMMGKHGNTVTITGEGFGDNEGSVLFDSDFSDVLSWSDTKIEVSVPDVTAGHYDISVVNAGDSQSPTYDKFEVLTGDQVSIRFAVNNATTSLGTNLYMVGNVNELGNWDPDQAIGPMFNQVMYQYPTWYYDISVPAEENLEYKFIKKDSSGNVVWESGNNHTYTTPATGTDTVLVDWQ