Q9DEN8 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic3eh3c6pdieyz5eqldghnl4bxxm7nnuy3evu2px74j5j2gpd7ge4/metadata.json
IPFS of structure file: 
bafybeick2zl3sfcswc6tnpcsrgmwgbxvquzi263h5f4g5tmclxhpd5yzmq/AF-Q9DEN8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2592363eA69f3b9d01e46458511B9cd458Bd4425
First NFT owner address (bech32): 
genesis1ykfrv04xnuae6q0yv3v9zxuu63vt63p9wfg0y4
Current NFT ID #255294 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
255294
Accession (UniProt):
Q9DEN8
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Notothenia neglecta

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 Q9DEN8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DEN8|MYG_NOTNE Myoglobin OS=Notothenia neglecta OX=202063 GN=mb PE=2 SV=3 MADFDMVLKCWGPMEADYATHGGLVLTRLFTEHPETLKLFPKFAGIAHGDLAGDAGVSAHGATVLNKLGDLLKARGAHAALLKPLSSSHATKHKIPIINFKLIAEVIGKVMEEKAGLDAAGQTALRNVMAVIIADMEADYKELGFTE