Q7N6C6 AF NFT

ATP-dependent lipid A-core flippase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfhnvm4ru3tjrxbsu4b36k36peqdubke443l6mmvhubgdksozk7u/metadata.json
IPFS of structure file: 
bafybeickgu5lux2sinp2pkjbynpxrfcgokckr3p23ip5eje5yo5yp7w7zi/AF-Q7N6C6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAFcE78C2F59C0868Bf7ACDb4670B574ae14010e4
First NFT owner address (bech32): 
genesis14l883sh4nsyx30m6ek6xwz6hfts5qy8y880rwk
Current NFT ID #244473 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244473
Accession (UniProt):
Q7N6C6
Name::
ATP-dependent lipid A-core flippase
Experimental Method:
Predicted structure
Sequence source:
PHOTORHABDUS LAUMONDII SUBSP. LAUMONDII (STRAIN DSM 15139 / CIP 105565 / TT01)

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 Q7N6C6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7N6C6|MSBA_PHOLL ATP-dependent lipid A-core flippase OS=Photorhabdus laumondii subsp. laumondii (strain DSM 15139 / CIP 105565 / TT01) OX=243265 GN=msbA PE=3 SV=1 MNDKDLSTWQTFCRLWPIVSPFRIGLIVAAVALILNAAGDTLMLSLLKPLLDEGFGKASSDVLKWMPLIVIALMIMRGLSGFVSSYCISWVSGKVVMQMRRRLFSHMMGMPVSFFDQQSTGTLLSRITYDSEQVASSSSSALITVVREGASIIGLFVLMFYYSWQLSLILIVIAPIVSLVIRVVSKRFRSISKNMQNSMGQVTASAEQMLKGHKEVLIFGGQNVETERFNKVSNHMRQQGMKMVSASSISDPIIQLIASFALAFVLYAASFPDIMETLTAGKITVVFSSMIALMRPLKSLTNVNAQFQRGMAACQTLFSILDMEQEKDDGKLELKKANGDIEFRNVTFCYPTKELPALQNISMYIPAGKIVALVGRSGSGKSTIANLLTRFYDVNEGNIFLDGHDLREYKLSSLRGQVALVSQNVHLFNDTVANNIAYASENRYSREEIEKAAEMAYAMDFIRKLDNGLDTMIGENGVLLSGGQRQRIAIARALLRDSPVLILDEATSALDTESERAIQAALDELQKNRTSLVIAHRLSTIENADEILVVEDGHIVERGDHLSLLERNGVYSQLHRMQFGQ