Q9DGI9 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4vmnxm2bkalhqcsnyufnygspx5f25to4lxykpdnufxzru2zlpni/metadata.json
IPFS of structure file: 
bafybeia7oq6qmxmv63ormh3lihgr3rzm74s535xg5pf7dopx7p6xrrf2du/AF-Q9DGI9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x26b4f882EF3Ad62CE99d00E3cC6F1F054c691CE6
First NFT owner address (bech32): 
genesis1y6603qh08ttze6vaqr3ucmclq4xxj88xv69j5q
Current NFT ID #255326 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
255326
Accession (UniProt):
Q9DGI9
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
SCOMBER JAPONICUS

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 Q9DGI9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DGI9|MYG_SCOJP Myoglobin OS=Scomber japonicus OX=13676 GN=mb PE=2 SV=3 MADFDAVLKFWGPVEADYDKIGNMVLTRLFTEHPDTQKLFPKFAGIGLGDMAGNAAISAHGATVLKKLAEVLKAKGNHAGIIKPLANSHATKHKIAINNFKLITEIIVKVMQEKAGLDAGGQTALRNVMGVFIADMDANYKELGFSG