Q2HAX7 AF NFT

Arginine biosynthesis bifunctional protein ArgJ, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjrvghzz7gjics6f4f75grlqdbu57tcuqi6s3f3eu57uuqmhdth4/metadata.json
IPFS of structure file: 
bafybeifr6pcbqtvx5v2kzx7xez566lcjwvzyob5ss3vmgyfyoefkz47woi/AF-Q2HAX7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7E5c3EaFBe57e0f5ca262933de7bF09ece2DD9b6
First NFT owner address (bech32): 
genesis10ewrata72ls0tj3x9yeau7lsnm8zmkdklanymz
Current NFT ID #22030 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
22030
Accession (UniProt):
Q2HAX7
Name::
Arginine biosynthesis bifunctional protein ArgJ, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
CHAETOMIUM GLOBOSUM (STRAIN ATCC 6205 / CBS 148.51 / DSM 1962 / NBRC 6347 / NRRL 1970)

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 Q2HAX7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2HAX7|ARGJ_CHAGB Arginine biosynthesis bifunctional protein ArgJ, mitochondrial OS=Chaetomium globosum (strain ATCC 6205 / CBS 148.51 / DSM 1962 / NBRC 6347 / NRRL 1970) OX=306901 GN=CHGG_02627 PE=3 SV=1 MAMAGCNGFFLHQLRQPRLQLARQLGRTPSRAYSAPSNGSIPAAKKKYVPTKGTYPLGFRTSGTIVGVKPSNTTKPDLALLTSDAPCVAAAVFTKNKFQAAPVTFSRNLLERRKNQGIQSVIINSGCANAVTGKGGLEDATKMAQEADKCTGQNESTIVMSTGVIGQRLPIDKILNKVPSAHGALGGSHDHWLAAAKAICTTDTFPKLMSRTFALPSSPGVEYRIAGMTKGAGMIHPNMATLLGVIATDAPITSAALPSALKHAVDRSFNSITIDGDTSTNDTVALFANGAAGGKEVAEGTPDYDAFRAVLTDFAAELAQLVVRDGEGATKFVTVRVTESASEEAARRIASTIARSPLVKTALYGKDANWGRILCATGYSLISEPGQPINDVPEIAPEKTNVSFIPTDGTAELKLLVNGEPEKVDEARAAEILELEDLEILVRLGQGDKQATYWTCDYSHEYITINGDYRT