B3PNR8 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmehexri7whvgupcbzx6ujh6ujx7ib3wfv7ja7xf5xp4a4yj473e/metadata.json
IPFS of structure file: 
bafybeidli5abffqivpkodmd576db5ehum2536fl46avclfohtn6xwp63ee/AF-B3PNR8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x805108b3adf62349cD15C1e3fD96fa37c0792E36
First NFT owner address (bech32): 
genesis1spgs3vad7c35nng4c83lm9h6xlq8jt3kxkej4w
Current NFT ID #244821 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244821
Accession (UniProt):
B3PNR8
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Rhizobium etli (strain CIAT 652)

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 B3PNR8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3PNR8|MSCL_RHIE6 Large-conductance mechanosensitive channel OS=Rhizobium etli (strain CIAT 652) OX=491916 GN=mscL PE=3 SV=1 MLNEFKAFIARGNVMDLAVGVIIGGAFGGIVKSLVDDLIMPIVGAIFGGFDFSNYFLPLSSAVNAPTLAAARAQGAVFAYGSFLTVLINFLILAWIIFLMVKGVNYLRMQVERQEEAAPEELPPPPADVQLLTEIRDLLARRPAV