Q6PL31 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicywkpbpnhudss5jko4bnckp7jg2ep3fz5i2ffz2p73lla2ukekim/metadata.json
IPFS of structure file: 
bafybeif6ox23uankwpokxsk45mffocbbaub27d4u37p3nhnvut5sssksea/AF-Q6PL31-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x903d68EF8d4158E11a1CE5C12dC20a18D2164C5b
First NFT owner address (bech32): 
genesis1jq7k3mudg9vwzxsuuhqjmss2rrfpvnzm03fw6l
Current NFT ID #255296 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
255296
Accession (UniProt):
Q6PL31
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Ochotona curzoniae

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 Q6PL31 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PL31|MYG_OCHCU Myoglobin OS=Ochotona curzoniae OX=130825 GN=MB PE=2 SV=3 MGLSDGEWQLVLTVWGKVEADLAGHGQEVLIRLFKNHPETLEKFDKFKNLKSEDEMKGSDDLKKHGNTVLSALGGILKKKGQHEAELKPLAQSHATKHKIPVKYLEFISEAIIQVLQSKHPGDFGADAQGAMSKALELFRNDMAAKYKELGFHG