Q9RN19 AF NFT

Uncharacterized protein pXO2-13/BXB0012/GBAA_pXO2_0012

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfag27tsa5kfcdrteuzuiihnkclmcxuho4aqb66vzz23rzf4o7nu/metadata.json
IPFS of structure file: 
bafybeifmsrwt47xkwv6auwnnoc6lxgsw5zl5xrgsx4qu2esgep6tpd3v6u/AF-Q9RN19-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #520544 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520544
Accession (UniProt):
Q9RN19
Name::
Uncharacterized protein pXO2-13/BXB0012/GBAA_pXO2_0012
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 Q9RN19 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RN19|Y6512_BACAN Uncharacterized protein pXO2-13/BXB0012/GBAA_pXO2_0012 OS=Bacillus anthracis OX=1392 GN=pXO2-13 PE=4 SV=1 MKVIDIANRRRIYFEMKQQELRASILMTVAGFIIAFAILVFQISFELGHLYHYIVTFAFLTYLSLHLYSNNKLARKIEKKQQGY