B7HSK8 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietpi6tcufxatux4exg2yyrcsqhb75a5vwdjgy6uyzpxztwikqnhy/metadata.json
IPFS of structure file: 
bafybeihevhz4h7yxyhsjfppkyvqnztihidozbxzax72ywuqib6bauekp74/AF-B7HSK8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf888b9Eb33b3D29f5324F6C2eFA834AaB9631EAf
First NFT owner address (bech32): 
genesis1lzytn6enk0ff75ey7mpwl2p542ukx840s08330
Current NFT ID #244578 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244578
Accession (UniProt):
B7HSK8
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH187)

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 B7HSK8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7HSK8|MSCL_BACC7 Large-conductance mechanosensitive channel OS=Bacillus cereus (strain AH187) OX=405534 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVVDLAVGVVIGAAFGKIVSSLVKDVITPLLGMVLGGVDFTDLKLTFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSRKEEEEKEEEIPEPTKEEVLLGEIRDLLKQQNSSKDRA