P49672 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieoakx3wsc4ydcwzrqmnnfhj72br5driqet4c4yfzowx3nogm7ub4/metadata.json
IPFS of structure file: 
bafybeifwlsomdjtwnoxotwppepw633gpkealxfkhqno7us2a27lew7cnsy/AF-P49672-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xABb05f7Ce29D376F9d540A21706087f54A0Ee56d
First NFT owner address (bech32): 
genesis14wc97l8zn5mkl825pgshqcy8749qaetd9gm604
Current NFT ID #147665 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
147665
Accession (UniProt):
P49672
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
ASCARIS SUUM

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 P49672 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P49672|GLB2_ASCSU Myoglobin OS=Ascaris suum OX=6253 PE=1 SV=1 MATACVKSLESVQCGTCEKTIANGTEFYALLFDKHPDLRHYFKGNENLTGADVKKSDHFKKQGQRLLLACHVLAHLENDPASFKAYAREIVDPHLRMSVHLEPKLWSEFWPIWLDYLSTKESVDDATKNAWLALGKKFSDECLDHLKNLGQPH