Q01966 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietplhzupkco27aa7ufg3iwdewh3udwcx37r3bagxptpxkrgnauuu/metadata.json
IPFS of structure file: 
bafybeibdorlf3y4jcyv5my5l2wv4xoegpurjdowhn62nptk2qwbcleetni/AF-Q01966-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x34a2a32567dD00A08b524564Bc44Da034F3a2cEe
First NFT owner address (bech32): 
genesis1xj32xft8m5q2pz6jg4jtc3x6qd8n5t8w3dvnu2
Current NFT ID #255266 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255266
Accession (UniProt):
Q01966
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
HALIOTIS DIVERSICOLOR

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 Q01966 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q01966|MYG_HALDV Myoglobin OS=Haliotis diversicolor OX=36095 PE=1 SV=2 MADIQLSKYHVSKDIGFLLEPLQDVLPDYFAPWNRLAKSLPDLVASHKFRDAVKEMPLLDSSKLAGYRQKRLAHLQLVLITSGYLWQEGEGGAVQRLPECVAKPLWNVSNDLGLKPVLTYGDVCLTNCRVKGGDIEVMYNLPGGAGTEWFLKVCGLVELTLGKGAQSVQNVLDGAKANDKAKMTSGLTELTTTIGNMQAALAKMNDNLTPDHFYNVLRPFLGGFGGPASPISGGLIYEGVSDAPVTMIGGSAAQSSAMQLLDNLLGVTHSPDKQAFLDEISNYMIPAHKQLLADLTKMPRKVPQIVAEAKDANLSKAYSGCVAALTQYRTYHIQVVTKYIVTASKSDSPKSLAYKDTGKSDLIPFLKEVRDDTEKMQK