P30562 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibeja4nspr2udu4r6fzybljslqxn5u7oi3x3pvt5qzdfetzccqlfq/metadata.json
IPFS of structure file: 
bafybeialdqhgzdbhccnmsjkqjepurgnel73oedcsj5ewfre3aqfh3qxnbq/AF-P30562-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA55fA446aDFd185F1deb3281162E4D0d9a8056F7
First NFT owner address (bech32): 
genesis15406g34dl5v9780tx2q3vtjdpkdgq4hhcrjpf5
Current NFT ID #255317 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255317
Accession (UniProt):
P30562
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Pusa sibirica

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 P30562 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P30562|MYG_PUSSI Myoglobin OS=Pusa sibirica OX=9719 GN=MB PE=1 SV=2 MGLSDGEWHLVLNVWGKWETDLAGHGQEVLIRLFKSHPETLEKFDKFKHLKSEDDMRRSFDLRKHGNTVLTALGGILKKKGHHEAELKPLAQSHATKHKIPIKYLEFISEAIIHVLHSKHPAEFGADAQAAMKKALELFRNDIAAKIKELGFHG