P02166 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbx67biozpaswzyxx22v65ijxcu46bzysnufaj5h6uga4vmqjdrm/metadata.json
IPFS of structure file: 
bafybeihggjcudg5slyq64vw757iksp4q3frwevzwqkayoqsvxoylvoscc4/AF-P02166-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5447eDcFe8562ba9C3eB635Ec6a4DCb48783EDdc
First NFT owner address (bech32): 
genesis123r7mnlg2c46nsltvd0vdfxukjrc8mwuu2vfcj
Current NFT ID #255307 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255307
Accession (UniProt):
P02166
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Perodicticus potto edwarsi

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 P02166 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02166|MYG_PERPO Myoglobin OS=Perodicticus potto edwarsi OX=9473 GN=MB PE=1 SV=2 MGLSDGEWQSVLNVWGKVEADLAGHGQEILIRLFTAHPETLEKFDKFKNLKTPDEMKASEDLKKHGVTVLTALGGILKKKGHHEAEIKPLAQSHATKHKIPVKYLEFISEAIIHVLQSKHPGDFGADAQGAMNKALELFRNDIAAKYKELGFQG