Q9DGJ0 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqnhwus7uuwnmuqchfbr45mmfsexewwgwj7arjdrbn7nh4xqqlxu/metadata.json
IPFS of structure file: 
bafybeigxlr7pdrivpugtvsozzgvcwjp63qxzkfcnmpdhkacfg3iru45zca/AF-Q9DGJ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x638EA7d798aBF8bbDfE1dCA65BB71AD6E3a92db9
First NFT owner address (bech32): 
genesis1vw8204uc40uthhlpmjn9hdc66m36jtdeff8nam
Current NFT ID #255324 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255324
Accession (UniProt):
Q9DGJ0
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Sarda chiliensis

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 Q9DGJ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DGJ0|MYG_SARCH Myoglobin OS=Sarda chiliensis OX=8231 GN=mb PE=2 SV=3 MADFDAVLKFWGPVEADYTSHGGLVLTRLFKEHPETQKLFPKFTGIAQADMAGNAAISAHGATVLKKLGELLKAKGNHAAILKPMANSHATKHKIPINNFKLISEIIVKVMQEKAGMDAGGQQALRNVMAAVIADLEANYKELGFSG