Q9DEN9 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpcdnbso5nfjlhl4qvrbzri63nr2b3yj2xedfm3q5csd23feosl4/metadata.json
IPFS of structure file: 
bafybeihye7fm6p6j32adc6fa5zpy267iyztnqst3oyfar6gfrssr4xd6u4/AF-Q9DEN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x19acef217e76EAc343483083349ff33c90b60D4F
First NFT owner address (bech32): 
genesis1rxkw7gt7wm4vxs6gxzpnf8ln8jgtvr209kgglx
Current NFT ID #255263 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255263
Accession (UniProt):
Q9DEN9
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Gobionotothen gibberifrons

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 Q9DEN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DEN9|MYG_GOBGI Myoglobin OS=Gobionotothen gibberifrons OX=36202 GN=mb PE=2 SV=3 MADFDMVLKCWGPVEADYTTHGSLVLTRLFTEHPETLKLFPKFAGIAHGDLAGDAGVSAHGATVLNKLGDLLKARGAHAALLKPLSSSHATKHKIPIINFKLIAEVIGKVMEEKAGLDAAGQTALRNVMAVIIADMEADYKELGFTE