Q0BKJ3 AF NFT

ATP-dependent lipid A-core flippase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifke32s2k5pzhwocae3ixmun3bspjh2nudg6b7mlobzholizstham/metadata.json
IPFS of structure file: 
bafybeidt24uwhlo32euzpuxyptpnrntv2flizjdsf6g7vjynhbp25canwi/AF-Q0BKJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #244451 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244451
Accession (UniProt):
Q0BKJ3
Name::
ATP-dependent lipid A-core flippase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. holarctica (strain OSU18)

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 Q0BKJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BKJ3|MSBA_FRATO ATP-dependent lipid A-core flippase OS=Francisella tularensis subsp. holarctica (strain OSU18) OX=393011 GN=msbA PE=3 SV=1 MANMIDKIDLKSQGSSNLSGEMTNHQKVGTLYKRLLLQVKHLWHFLLLAAIGSIFFSAADASMIYLINPILNYGFGPGGGITKQSATILMLMGVGMVGLLALRSVGSFVSQYFIGSLGQKVVYKFRKDIYKRLMGLPASFFDKHSTGQIISRLLYNVDQVTEATSTAIITVVQDGTFVIGLIVVMFVSSWQLSLFLIVVGPFLGLFISIINKKFRNLSRNTQSSMGNVTHTAEETIRNYKEIRIFGAQQKQQNKFFKNLDYTYSQQIRTIALDALTSPVIQIIASLVLAFSLFTIAIFGTNEGDGSSWLTAGSFASFFAAAAAILKPIKNLTKVNVVIQKAVAATEDIFYILDYPAEKETGSKELAKVDGNVTIKDLSFAFGEHKVLSGVSVDIKAGQTVAFVGKSGSGKTTLTSIISRFYTQHEGEILLDGVDTRELTLENLRSHLSIVSQNVHLFDDTVYNNIAFGLSREVSEEEVIDALKRANAYEFVQELSDGINTNIGNNGSKLSGGQRQRISIARALLKNAPVLIFDEATSALDNESERVVQQALESLTKSCTTIVIAHRLSTVENADKIVVMDGGMVVESGKHQELLEQGGLYTRLYQSGLQ