Q5B2E9 AF NFT

Pyranose 2-oxidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie7neue5bjuihennmpp7g5pab3mpttmy3ia42zedziv4h5vczvn7y/metadata.json
IPFS of structure file: 
bafybeifhro7gp4zmddtimidpa7hgdohud7gkvejlq5cqt2s7lyowjhtdt4/AF-Q5B2E9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8873c1b38A148297C06f7797E3A5aBaef6A3Feba
First NFT owner address (bech32): 
genesis13peurvu2zjpf0sr0w7t78fdt4mm28l46mhz3ps
Current NFT ID #284482 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
284482
Accession (UniProt):
Q5B2E9
Name::
Pyranose 2-oxidase
Experimental Method:
Predicted structure
Sequence source:
EMERICELLA NIDULANS (STRAIN FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139)

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 Q5B2E9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5B2E9|P2OX_EMENI Pyranose 2-oxidase OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=p2ox PE=3 SV=2 MQYSRMTATRENPKYKNLRVEECDVLIIGSGPVGATYAREILDPGSGASPGRKAPKVIMVETGAQESKVPGEHKKNAVVYQKHIDSFVNVIQGSLFATSVPTRVDPNLKLPPVSWSPREKQNFNGQNKEQNIYHNLDANGVSRNVGGMSTHWTCATPRQHELERSKIFDDATWDRLYKRAEELIGTRTDVLDQSIRQRLVLDILRKKFKNRDAKALPLAAEKVEGKNLIKWSSSSTVLGNLLEDEKFTLLDQHHCEKLEFNDETNKVSFAIIKNLAKPQTSKEDEDRLRIKAKYVIVCGGPILTPQLLFKSGFRYDEEDAEDSEGNKSSLYIPALGRNLTEQTMCFCQIVLKDKWVEELQKNNWGPECEEHRRKYDEEDDPLRIPFDDLDPQVTLPFTENTPWHTQIHRDAFSYGAVPPAIDKRTIVDLRYFGRAETQWRNRVTFSKKLTDAYGMPQPTFDFKLSTKDRLESHRMMQDMEKVAGELGGYLPGSEPQFLAPGLALHVCGTTAALRKGCRSEDEMKRISVCDENSKVWGVENLHLGGLNVIPGPRSNASNPTLTAMCFAIKGAEEIRRKLGKKGSHSGNRDDGDVDTDTDDDA