Q6VN46 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid5busor3svwh3vs6jokzr6hy3g4lclirhht6exboks2fewyj7hzi/metadata.json
IPFS of structure file: 
bafybeicbgy2g3dq6taw6624ikdxpcg5wixxerozbszcu6ckxiqjety4alu/AF-Q6VN46-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2212E7C2D74dEcE3Be1026CF82bc07Dd6C6F59a9
First NFT owner address (bech32): 
genesis1ygfw0skhfhkw80ssym8c90q8m4kx7kdf5688m3
Current NFT ID #255252 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255252
Accession (UniProt):
Q6VN46
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6VN46 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6VN46|MYG_DANRE Myoglobin OS=Danio rerio OX=7955 GN=mb PE=2 SV=3 MADHDLVLKCWGAVEADYAANGGEVLNRLFKEYPDTLKLFPKFSGISQGDLAGSPAVAAHGATVLKKLGELLKAKGDHAALLKPLANTHANIHKVALNNFRLITEVLVKVMAEKAGLDAAGQGALRRVMDAVIGDIDGYYKEIGFAG