A0RD64 AF NFT

3-hydroxyanthranilate 3,4-dioxygenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidteqoqmnqvfcsgvngtia36vgu42axkwfl6o3cmza5n5j3ne2foey/metadata.json
IPFS of structure file: 
bafybeidbrakpwebj6wfhj2zejk7rbzq2mpqvyvollqrxjibdhtpi7ov6tu/AF-A0RD64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD6405a3FdE14968240b76e4f9AE6d0CA1919f533
First NFT owner address (bech32): 
genesis16eq95077zjtgys9hde8e4eksegv3nafnptnw3l
Current NFT ID #589 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
589
Accession (UniProt):
A0RD64
Name::
3-hydroxyanthranilate 3,4-dioxygenase
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RD64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RD64|3HAO_BACAH 3-hydroxyanthranilate 3,4-dioxygenase OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=nbaC PE=3 SV=1 MSKTLQSFNLLKWIDENKELLKPPVNNKVIWQDSEFIAMILGGPNRRRDFHVDPSDEFFYQIKGECYVECITEEGKREVVTVKEGDVFMLPAMVPHSPHRVANTYGLVIERKRSQGELEDFVWFCDECNHEMHRVRVQLSDIEKQVKEAIHSFNSNKEIRACKNCGHIMPEEVGEWKCE