Q7LZM1 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidiced4c2aajrvmf4a7apwyfpyskcqkwvitcrswrso4wloh2wuu3i/metadata.json
IPFS of structure file: 
bafybeibcprgijukwh5lzi2yok7p4lputpreyt2jqvavvs5o27t3j3ua3qa/AF-Q7LZM1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x136D36477109D2950D3fC03D98b07D430b523238
First NFT owner address (bech32): 
genesis1zdknv3m3p8ff2rflcq7e3vragv94yv3c8rn4ce
Current NFT ID #255341 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
255341
Accession (UniProt):
Q7LZM1
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Uria lomvia

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 Q7LZM1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7LZM1|MYG_URILO Myoglobin OS=Uria lomvia OX=28711 GN=MB PE=1 SV=2 MGLSDQEWQHVLTIWGKVESDLAGHGHQVLMRLFQDHPETLDRFEKFKGLKTPDQMKGSEDLKKHGVTVLTQLGKILKQKGNHESELKPLAQTHATKHKIPVKYLEFISEAIIKVIAEKHASSFGADSQAAMKKALELFRNDMASKYKEFGFQG