P9WGF5 AF NFT

Probable cation efflux system protein Rv2025c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibyhxsid75u6lw3ytfcljn6ffwxpneiop5lynmeqn7qrq4tnxnane/metadata.json
IPFS of structure file: 
bafybeifokicxqyokbx5mteusi3kid25oe6dzspv7amylwyiyjjr4ixle64/AF-P9WGF5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xce900C0fF7FC4490Db85F81246504E4B06fbB727
First NFT owner address (bech32): 
genesis1e6gqcrlhl3zfpku9lqfyv5zwfvr0hde86vh3yw
Current NFT ID #510531 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510531
Accession (UniProt):
P9WGF5
Name::
Probable cation efflux system protein Rv2025c
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 P9WGF5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGF5|Y2025_MYCTU Probable cation efflux system protein Rv2025c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2025c PE=1 SV=1 MTHDHAHSRGVPAMIKEIFAPHSHDAADSVDDTLESTAAGIRTVKISLLVLGLTALIQIVIVVMSGSVALAADTIHNFADALTAVPLWIAFALGAKPATRRYTYGFGRVEDLAGSFVVAMITMSAIIAGYEAIARLIHPQQIEHVGWVALAGLVGFIGNEWVALYRIRVGHRIGSAALIADGLHARTDGFTSLAVLCSAGGVALGFPLADPIVGLLITAAILAVLRTAARDVFRRLLDGVDPAMVDAAEQALAARPGVQAVRSVRMRWIGHRLHADAELDVDPALDLAQAHRIAHDAEHELTHTVPKLTTALIHAYPAEHGSSIPDRGRTVE