P0DO16 AF NFT

Beta-conglycinin alpha subunit 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifb3csolyzbrzglmg7qyxwnjdqzgn62nn5dnm3d2iqyxb42qkzgqu/metadata.json
IPFS of structure file: 
bafybeigd5t7ma4ufz4yckytjkdxe536xdpww7iimxsplz4pzmb6ncsv7nq/AF-P0DO16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x969230c804781056B36799D8DA2d131A56102425
First NFT owner address (bech32): 
genesis1j6frpjqy0qg9dvm8n8vd5tgnrftpqfp9tamana
Current NFT ID #147766 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
147766
Accession (UniProt):
P0DO16
Name::
Beta-conglycinin alpha subunit 1
Experimental Method:
Predicted structure
Sequence source:
GLYCINE MAX

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 P0DO16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DO16|GLCA1_SOYBN Beta-conglycinin alpha subunit 1 OS=Glycine max OX=3847 GN=CG-3 PE=1 SV=1 MMRARFPLLLLGLVFLASVSVSFGIAYWEKENPKHNKCLQSCNSERDSYRNQACHARCNLLKVEKEECEEGEIPRPRPRPQHPEREPQQPGEKEEDEDEQPRPIPFPRPQPRQEEEHEQREEQEWPRKEEKRGEKGSEEEDEDEDEEQDERQFPFPRPPHQKEERKQEEDEDEEQQRESEESEDSELRRHKNKNPFLFGSNRFETLFKNQYGRIRVLQRFNQRSPQLQNLRDYRILEFNSKPNTLLLPNHADADYLIVILNGTAILSLVNNDDRDSYRLQSGDALRVPSGTTYYVVNPDNNENLRLITLAIPVNKPGRFESFFLSSTEAQQSYLQGFSRNILEASYDTKFEEINKVLFSREEGQQQGEQRLQESVIVEISKEQIRALSKRAKSSSRKTISSEDKPFNLRSRDPIYSNKLGKFFEITPEKNPQLRDLDIFLSIVDMNEGALLLPHFNSKAIVILVINEGDANIELVGLKEQQQEQQQEEQPLEVRKYRAELSEQDIFVIPAGYPVVVNATSNLNFFAIGINAENNQRNFLAGSQDNVISQIPSQVQELAFPGSAQAVEKLLKNQRESYFVDAQPKKKEEGNKGRKGPLSSILRAFY