P9WJB1 AF NFT

Fluoroquinolones export permease protein Rv2687c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih7iienwqlsqk4its3h2joppn7xhlgrf2gmsdq7tdgsl7mw5g4dka/metadata.json
IPFS of structure file: 
bafybeiflqt4tg6ififvl4utszdyzrwehnki4dsxfymzl6vjxduom5fu4ei/AF-P9WJB1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3dF9Ee570cB7Ca6DC2360A2eDAa2ca6EADC59592
First NFT owner address (bech32): 
genesis18hu7u4cvkl9xms3kpghd4gk2d6kut9vjj8dfzj
Current NFT ID #132832 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132832
Accession (UniProt):
P9WJB1
Name::
Fluoroquinolones export permease protein Rv2687c
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WJB1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJB1|FLQE3_MYCTU Fluoroquinolones export permease protein Rv2687c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2687c PE=1 SV=1 MTRLVPALRLELTLQVRQKFLHAAVFSGLIWLAVLLPMPVSLRPVAEPYVLVGDIAIIGFFFVGGTVFFEKQERTIGAIVSTPLRFWEYLAAKLTVLLAISLFVAVVVATIVHGLGYHLLPLVAGIVLGTLLMLLVGFSSSLPFASVTDWFLAAVIPLAIMLAPPVVHYSGLWPNPVLYLIPTQGPLLLLGAAFDQVSLAPWQVGYAVVYPIVCAAGLCRAAKALFGRYVVQRSGVL