Q2FFM9 AF NFT

Putative multidrug export ATP-binding/permease protein SAUSA300_1847

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihm6uxjkgdssmycafia65xbx2rgymchtfevom7hshvh4egglt3nxm/metadata.json
IPFS of structure file: 
bafybeid6f4gl6onuiln435qvpxypy4hds6wfx7un4c2adpsjk5sham55dq/AF-Q2FFM9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x85125C8B0096B3cCEdc65a9BaD632992883fFb48
First NFT owner address (bech32): 
genesis1s5f9ezcqj6euemwxt2d66cefj2yrl76gsmcxzm
Current NFT ID #509655 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
509655
Accession (UniProt):
Q2FFM9
Name::
Putative multidrug export ATP-binding/permease protein SAUSA300_1847
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN USA300)

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 Q2FFM9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2FFM9|Y1847_STAA3 Putative multidrug export ATP-binding/permease protein SAUSA300_1847 OS=Staphylococcus aureus (strain USA300) OX=367830 GN=SAUSA300_1847 PE=3 SV=1 MIKRYLQFVKPYKYRIFATIIVGIIKFGIPMLIPLLIKYAIDGVINNHALTTDEKVHHLTIAIGIALFIFVIVRPPIEFIRQYLAQWTSNKILYDIRKKLYNHLQALSARFYANNQVGQVISRVINDVEQTKDFILTGLMNIWLDCITIIIALSIMFFLDVKLTLAALFIFPFYILTVYVFFGRLRKLTRERSQALAEVQGFLHERVQGISVVKSFAIEDNEAKNFDKKNTNFLTRALKHTRWNAYSFAAINTVTDIGPIIVIGVGAYLAISGSITVGTLAAFVGYLELLFGPLRRLVASFTTLTQSFASMDRVFQLIDEDYDIKNGVGAQPIEIKQGRIDIDHVSFQYNDNEAPILKDINLSIEKGETVAFVGMSGGGKSTLINLIPRFYDVTSGQILIDGHNIKDFLTGSLRNQIGLVQQDNILFSDTVKENILLGRPTATDEEVVEAAKMANAHDFIMNLPQGYDTEVGERGVKLSGGQKQRLSIARIFLNNPPILILDEATSALDLESESIIQEALDVLSKDRTTLIVAHRLSTITHADKIVVIENGHIVETGTHRELIAKQGAYEHLYSIQNL