Q9RMW2 AF NFT

Uncharacterized protein pXO2-72/BXB0098/GBAA_pXO2_0098

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiao5pvqzzswc4rqfqgfjensn46drmjns3dofxauuzqkgssnni3foy/metadata.json
IPFS of structure file: 
bafybeicumyo5yreb6znvksddqamd2egvtlysaad34wrai76ovfprikndgi/AF-Q9RMW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8BC40077C5d5F33D23534b61A4486FB35E477897
First NFT owner address (bech32): 
genesis130zqqa796hen6g6nfds6gjr0kd0yw7yhf8f2z9
Current NFT ID #520643 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520643
Accession (UniProt):
Q9RMW2
Name::
Uncharacterized protein pXO2-72/BXB0098/GBAA_pXO2_0098
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 Q9RMW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RMW2|Y6598_BACAN Uncharacterized protein pXO2-72/BXB0098/GBAA_pXO2_0098 OS=Bacillus anthracis OX=1392 GN=pXO2-72 PE=4 SV=1 MLFMLDEIMTPREACDRWGITQEALRMKLKRGKDSELVDKLIREGKLKYYRPIEKKRGEWILTVEAMKILFPKSNRSFIIK