Q633B8 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidvnl4saf3jbspghbgfdk7n7ezdw4jq22e7rff7dz4mcimdw42bpy/metadata.json
IPFS of structure file: 
bafybeianddbl4n6x3bc5zqhtxmlt5ydpefcag5oyiaotpzgmeiftft6lxi/AF-Q633B8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe43D264c0E4229A2c42bC24F7Fed41a1fCf1938d
First NFT owner address (bech32): 
genesis1us7jvnqwgg5693ptcf8hlm2p5870ryudll06ej
Current NFT ID #244582 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244582
Accession (UniProt):
Q633B8
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

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 Q633B8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q633B8|MSCL_BACCZ Large-conductance mechanosensitive channel OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVIDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTDLKITFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSKREEEKEEEIPEPTKEEELLGEIRDLLKQQNSSKDRA