Q72Z61 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihaislujl5kytgufp665tpdplwk5kzuy7tpxrhw5dmsittlmk6kvu/metadata.json
IPFS of structure file: 
bafybeihjftma3oyagq6eli3qurrnvgccwo4u2ewcs26driaerde6emyjci/AF-Q72Z61-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x15FB92c459c9F7763B8429dBFDDcE1186F36F75c
First NFT owner address (bech32): 
genesis1zhae93zee8mhvwuy98dlmh8prphnda6upgj20j
Current NFT ID #244574 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244574
Accession (UniProt):
Q72Z61
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ATCC 10987 / NRS 248)

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 Q72Z61 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72Z61|MSCL_BACC1 Large-conductance mechanosensitive channel OS=Bacillus cereus (strain ATCC 10987 / NRS 248) OX=222523 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVVDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTSLHFGYGKSAVMYGNFIQTIFDFLIIAASIFMFVKVFNKLTSKKEEEKEEEIPEPTKEEVLLSEIRDLLKQQNSSKDRA