A9MRQ2 AF NFT

Probable sugar efflux transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidvs5x3x3367gpnpso6t5imtpmrr5lewttvy6gtdukivcdjqnb3ca/metadata.json
IPFS of structure file: 
bafybeif733xbyoz3xh7kwl4c7bcgfvm2mbumsxtpaeo6pr6rmbakzzscae/AF-A9MRQ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD990Dd514475fA05b661C6Bfc55B2BE59619c16d
First NFT owner address (bech32): 
genesis1mxgd652ywhaqtdnpc6lu2ketuktpnstdt7v50g
Current NFT ID #433035 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433035
Accession (UniProt):
A9MRQ2
Name::
Probable sugar efflux transporter
Experimental Method:
Predicted structure
Sequence source:
Salmonella arizonae (strain ATCC BAA-731 / CDC346-86 / RSK2980)

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 A9MRQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9MRQ2|SOTB_SALAR Probable sugar efflux transporter OS=Salmonella arizonae (strain ATCC BAA-731 / CDC346-86 / RSK2980) OX=41514 GN=sotB PE=3 SV=1 MTINPVSRKVAWLRVVTLAIAAFIFNTTEFVPVGLLSDIAESFHMQTAQVGIMLTIYAWVVAVMSLPFMLLTSQIERRKLLICLFVLFIASHVLSFLAWNFTVLVISRIGIAFTHAIFWSITASLAIRLAPAGKRAQALSLIATGTALAMVLGLPIGRVVGQYFGWRTTFFAIGMGALITLICLIKLLPKLPSEHSGSLKSLPLLFRRPALMSLYLLTAVVVTAHYTAYSYIEPFVQNVAGLSANFATVLLLILGGAGIIGSLVFGKLGNQHASLLVSIAISLLVVCLLLLLPAADSEAHLALLSIFWGIAIMVIGLGMQVKVLALAPDATDVAMALFSGIFNIGIGAGALAGNQVSLHWSMSTIGYIGAVPACAALVWAVLIFRKWPVTLEEQPR