Q9DGJ2 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdae44fa2f2oxqqcfmhf764ck65o36zbj5g2kiuugoaheilkl7uq/metadata.json
IPFS of structure file: 
bafybeid2pcftfzaybf5pkyger7ozcd7dbmqh6quek73hoz6eonxavjraem/AF-Q9DGJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD8Be002F098D25C4405f8f494Dc76De6A4A98A0d
First NFT owner address (bech32): 
genesis1mzlqqtcf35jugszl3ay5m3mdu6j2nzsdn9k84y
Current NFT ID #255334 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255334
Accession (UniProt):
Q9DGJ2
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
THUNNUS ALALUNGA

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 Q9DGJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DGJ2|MYG_THUAA Myoglobin OS=Thunnus alalunga OX=8235 GN=mb PE=2 SV=3 MADFDAVLKCWGPVEADYTTIGGLVLTRLFKEHPDTQKLFPKFAGIAQADLAGNAAISAHGATVLKKLGELLKAKGSHASILKPMANSHATKHKIPINNFKLISEVLVKVMQEKAGLDAGGQTALRNVMGIIIADLEANYKELGFTG