Q9RMW9 AF NFT

Uncharacterized protein pXO2-65/BXB0087/GBAA_pXO2_0087

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqjl3se3k6obzi74hlc5qs33527n32d3u4b2hjxtklcg6o5rxgpa/metadata.json
IPFS of structure file: 
bafybeiex6ucu6tu5y7pkpbwopgtbxq3ypcmzndg3rl4s7f5g3d5siydige/AF-Q9RMW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x72bB5e004C63E96c37EcA6C9EafAe518f04aEe94
First NFT owner address (bech32): 
genesis1w2a4uqzvv05kcdlv5my747h9rrcy4m55c0zyzm
Current NFT ID #520634 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520634
Accession (UniProt):
Q9RMW9
Name::
Uncharacterized protein pXO2-65/BXB0087/GBAA_pXO2_0087
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 Q9RMW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RMW9|Y6587_BACAN Uncharacterized protein pXO2-65/BXB0087/GBAA_pXO2_0087 OS=Bacillus anthracis OX=1392 GN=pXO2-65 PE=4 SV=1 MKIWKNILNIILALAVPIGLLFISMMIGEGVLDLFLDILNINYDDLSYLEEKAFAMFIPLLIIALTLLVTFLHHRSLRPLRLSTGFLSKETYKNYGIGIGIVFIFLSLIQS