P9WJB2 AF NFT

Fluoroquinolones export permease protein MT2760

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihlo3u7txkxcgyp7fj2smi22wqgqxpifbqqd4ci2i6nkmtilymjs4/metadata.json
IPFS of structure file: 
bafybeig2smq54ipzsgn2s5lsddpegiwc2qvd6zb2lgwluhfs32wcpxejiy/AF-P9WJB2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97C9199E55eA66e6305A49f17dB59c79b2766C48
First NFT owner address (bech32): 
genesis1jly3n8j4afnwvvz6f8chmdvu0xe8vmzgp4s5pv
Current NFT ID #132829 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132829
Accession (UniProt):
P9WJB2
Name::
Fluoroquinolones export permease protein MT2760
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WJB2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJB2|FLQE2_MYCTO Fluoroquinolones export permease protein MT2760 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT2760 PE=3 SV=1 MRAISSLAGPRALAAFGRNDIRGTYRDPLLVMLVIAPVIWTTGVALLTPLFTEMLARRYGFDLVGYYPLILTAFLLLTSIIVAGALAAFLVLDDVDAGTMTALRVTPVPLSVFFGYRAATVMVVTTIYVVATMSCSGILEPGLVSSLIPIGLVAGLSAVVTLLLILAVANNKIQGLAMVRALGMLIAGLPCLPWFISSNWNLAFGVLPPYWAAKAFWVASDHGTWWPYLVGGAVYNLAIVWVLFRRFRAKHA