B4MNL1 AF NFT

Protein arginine N-methyltransferase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiekix7ch4atlss2ari5evlqro3tporbcmxkvp6rktg7tkyk5kd5vi/metadata.json
IPFS of structure file: 
bafybeicdfkyksqk6y7jv3c3aap3z5fh6xz2czwa6be3cfzqdwzb344wrx4/AF-B4MNL1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #16463 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16463
Accession (UniProt):
B4MNL1
Name::
Protein arginine N-methyltransferase 7
Experimental Method:
Predicted structure
Sequence source:
Drosophila willistoni

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 B4MNL1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4MNL1|ANM7_DROWI Protein arginine N-methyltransferase 7 OS=Drosophila willistoni OX=7260 GN=Art7 PE=3 SV=1 MSSFSQVRNPITGQATWQENADDYDYHQEVANAGFGDMLHDWERNQKYYAAIKKTIKRMQADGREVHVLDIGTGTGILSMMALKAGADSVTACEAFLPMANCAAKIMTANGADKIQLIRKRSTEIQIGVDMARRANLLVAELLDTELIGEGAIGIYNHAHQELLTKDALCIPARARCYAQVATSSLAKQWNGFKLMANLDGETLLRVPPQLNECKGDAALHDLQLSQLPTESFRLFSKPVEIFEFDFQQHLEPIQKQRNKVVPLQASQPGSADMVFYWWDIDLDHESEIVLSCAPFWAHPDKDKHVAGEDKPLANAIPWRDHWMQAIYYIPKPLHLSNTKETFYLSCHHDEYSLWFDAQLKEPAESIERHHCTCDLHLINPRSRIGQLNQSPRNKRYLNYLEETTTKDSQFLVLGNSCFLGLATCGLGAASVEIYDSNSLSRRLLDSFIKFNKLENVSLLEKLEDVQDHSKLTHIFAEPYFINSILPWDNFYFGTLLLSLKDKLSEGTQISPCAARIFALPMEFLDLHKIRAPVGNCEGFDLSLFDEMVKDSADKAVSSVEAQPLWEYPGRALAQPQEILRVDFANFNQELHQQGSIELIRSKECNGIALWVDWQLYSSESPKAFVTSGPSQPIEIGKFVKWDMFVRQGVHFPQTRTTNATQVEWQIDFKPFLGELNFKFDLKSI