Q0V6Q8 AF NFT

Cytochrome P450 monooxygenase phmB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6qaqc7l7jnvawdkfwpcvyhq2oabwr5go37ubluxevc4wgv7jgcu/metadata.json
IPFS of structure file: 
bafybeia3mfe3knumomohwnqpnbr5obah67ocj4h7ntuwniln4horxbhfvq/AF-Q0V6Q8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x732E4190faECa153323BD0294f89362fA205488a
First NFT owner address (bech32): 
genesis1wvhyry86ajs4xv3m6q55lzfk973q2jy2uw675u
Current NFT ID #298011 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
298011
Accession (UniProt):
Q0V6Q8
Name::
Cytochrome P450 monooxygenase phmB
Experimental Method:
Predicted structure
Sequence source:
PHAEOSPHAERIA NODORUM (STRAIN SN15 / ATCC MYA-4574 / FGSC 10173)

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 Q0V6Q8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0V6Q8|PHMB_PHANO Cytochrome P450 monooxygenase phmB OS=Phaeosphaeria nodorum (strain SN15 / ATCC MYA-4574 / FGSC 10173) OX=321614 GN=phmB PE=3 SV=1 MAFPGVRRGLGELIGLRKSDAWYSTEDPRFGLTCRITASTRKLASCTSPWQYADIIQFIASTTITTIMLESLIEQWQIMRQAFAPMRLSRWQLVKLLAAQIHRDNPVAAKIAALLFVAGLFWAVSVLTRPKRLDKKLGLPLIGGSRTLKKDFATVIERGRQMYPDQPFIVNSSGKPFVVYPPSNFDEIKRLSEEEASAQDFFYDATHGYWTSVGTETPALWKTIGIDLARAGAPVVSTKQKDARTAFDRYVGYCPDEKSFNVFDVMMKVVALTNGASFVGREVAGGRWHELVAQLPMTVYFAVIFLTWTPRLFRPFLEPLFFLPHFKVQRDMRRILEPIIKQDLDEWSKTDDKKEQLKVKEGQRLPYHKWLISRYGPGEATPRQLATDQIVTAFESTISTALTIYYILFQLASRPELQDELRQEIADNTTDGQLPSTSLTELRKMDSVMRESFRVNPFALFSLYRITRKPLQLSTGPKLPAGTIFCVDVHHINNSSALFPAPTRYDPHRFLNKREQPGAEHRHQFVSTGPMDPNFGDGTQACPGRFWANNTIKVCLVHVLTRYRLKLKEGHTRPQPVCMPNGSWVPDLKAEVIFQSLD