P68277 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbmk6kp3f5shie6tlkffzxi5q6lefrz2ic6phkwnvevhnb7ezosm/metadata.json
IPFS of structure file: 
bafybeia7e2mzic2p6jplir54o4onypotnm4cxu6l4q2bzmrxykbmfbwh2a/AF-P68277-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x771430FA8E04eE753b910E6e54aC0C8eb2f8Bd92
First NFT owner address (bech32): 
genesis1wu2rp75wqnh82wu3peh9ftqv36e030vj3dwxh2
Current NFT ID #255309 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255309
Accession (UniProt):
P68277
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Phocoenoides dalli dalli

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 P68277 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P68277|MYG_PHODA Myoglobin OS=Phocoenoides dalli dalli OX=9745 GN=MB PE=1 SV=2 MGLSEGEWQLVLNVWGKVEADLAGHGQDVLIRLFKGHPETLEKFDKFKHLKTEAEMKASEDLKKHGNTVLTALGGILKKKGHHDAELKPLAQSHATKHKIPIKYLEFISEAIIHVLHSRHPAEFGADAQGAMNKALELFRKDIATKYKELGFHG