Q9I3K7 AF NFT

GTP 3',8-cyclase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqbuwq6ipu4amz2thaonbcvepou3aefrldr23vxpoaonoq55obli/metadata.json
IPFS of structure file: 
bafybeib35w373xeoz2fyvcf4ncws7lco6pg2rd63gn5dg7qnjbjrae5gzm/AF-Q9I3K7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x22b7Fb1e0672534F7F94F5B4B1755D26b481FfA6
First NFT owner address (bech32): 
genesis1y2mlk8sxwff57lu57k6tza2ay66grlaxg24vwf
Current NFT ID #240218 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
240218
Accession (UniProt):
Q9I3K7
Name::
GTP 3',8-cyclase 2
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9I3K7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I3K7|MOAA2_PSEAE GTP 3',8-cyclase 2 OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=moaA2 PE=3 SV=1 MSDSRLVDPFGRRITYLRLSVTDRCDFRCTYCMSEDMQFLPRDQVLSLEELYAVADAFIGLGVRRIRITGGEPLVRKGITGLLARLGQRAELEDLAITTNGSQLRERAAELKAAGVRRLNVSLDSLQRERFAAFTRSDRLEQVLDGIQAAREAGFERIKLNCVVQKGRNDDEILDLVEYALANQLDISFIEEMPLGSITSHRRELTLCTSDEVRAIIERRWPLTPSLARSGGPSRYYQIGDEPSRIGFISPHSNNFCGDCNRVRVTAEGKLVLCLGHEGALDLRELLRSHPGDRERLSAALVAALNLKPERHHFDAQEQVQVLRFMSMTGG