Q6F059 AF NFT

Uncharacterized protein pXO2-09/BXB0008/GBAA_pXO2_0008

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibgei7l3stfofosozddmvzkmmbutjnpklgpa36flscqt3iwoaxmnq/metadata.json
IPFS of structure file: 
bafybeidbfwcecngnkyebryjzhhh6gtiyjwipyxg4tfjasiacut2olww23u/AF-Q6F059-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdCa3E8477B678EB93Ed98933F2784Ed8bf41Dae5
First NFT owner address (bech32): 
genesis1mj37s3mmv78tj0ke3yely7zwmzl5rkh975za0d
Current NFT ID #520532 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520532
Accession (UniProt):
Q6F059
Name::
Uncharacterized protein pXO2-09/BXB0008/GBAA_pXO2_0008
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 Q6F059 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6F059|Y6508_BACAN Uncharacterized protein pXO2-09/BXB0008/GBAA_pXO2_0008 OS=Bacillus anthracis OX=1392 GN=pXO2-09 PE=4 SV=1 MVKLGKKEQQKYRTEGYDLDFISRVQPQGGIKFNEKYIAQGDCYVACLHVYSLAEDIPPLWLTALMNNKDTISSVDVATANKEEVVKDINRSITELKDRMTSERRSTDRDDAHWELQNLTDFARSITQQGEIVKLVKLRIYIYDPVLEQLEKRIGDIKKEIAGQNYKAQVYVFKQKEEWQTLFASYDDQIEYLGVKSGYPLPSKNIGFGIPFHHQDLKDPRGIYLGQTSTGGAFILDPFFSTGTRTSFSGFIFGKMGAGKSTLLKQLEEGLVAKDCFIRGFDKARDYYTVVQQQGGKIIDLSGVQDSEEVETGMINPLEVFATKITNTGAVDEKGSFIQHISKVTNMIRFLNTEFDDTVIQEFRKHLYAFYIEWGLVPQKGSDRPYKVTGYPPNHYPILEDFYKYLSNLKLEAGATPQRHRDLEAIKLQVEDMITVYGDMFNGHTTLKNFENEQIVFFDIDGISKYDKSVFNCQLFTALTLIWSHALKNGRQMKYLREEKNLSIEDVKYFMVFLDECHNVINSQNEFANRYVLEFEREMRKFFAGIFFATQSPQEMLPPPGSTVDVSTMKAIFELTQYKIFLNMDNSVLETLKSVLGESLTESEFRILPELKRGEAIVQVSSTETYNVMFDPDEKQLERFKGGQ