Q9RN28 AF NFT

Uncharacterized protein pXO2-04/BXB0002/GBAA_pXO2_0002

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiff4g4hdr4wm4fvabqbluyrvzzknc3phm5rvym4d6yfrhb4pjxl3i/metadata.json
IPFS of structure file: 
bafybeifeg3e2d5ofa6ya5yx2xwlwaadj5577jg7nb5n5w2zlmoy5qfnxey/AF-Q9RN28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78a503a9F23864BFbc868D392a218431330dD1fd
First NFT owner address (bech32): 
genesis10zjs820j8pjtl0yx35uj5gvyxyesm50ax6ld78
Current NFT ID #520525 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520525
Accession (UniProt):
Q9RN28
Name::
Uncharacterized protein pXO2-04/BXB0002/GBAA_pXO2_0002
Experimental Method:
Predicted structure
Sequence source:
BACILLUS ANTHRACIS

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 Q9RN28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RN28|Y6502_BACAN Uncharacterized protein pXO2-04/BXB0002/GBAA_pXO2_0002 OS=Bacillus anthracis OX=1392 GN=pXO2-04 PE=4 SV=1 MEIHVRNVDPYHLKEIDKRCKEIGKKLGRRYYRWEYINMMFEQHFNQEYSRNKEDKFDEAVSNVSITLDRQSDKLQEYIDATHELVAAMIKLNEE