B9J176 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifup5m53iwdu2za3zs7rq53dzuggdhmgbvdr4e6rsawm6a5e2kcti/metadata.json
IPFS of structure file: 
bafybeid766rvkdj7q3uieqbf6kkpmu6vvehsu7c4fsiczjpacaf47idbra/AF-B9J176-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe35916812bf8eD8a10C099573e7bab220EE9feB9
First NFT owner address (bech32): 
genesis1udv3dqftlrkc5yxqn9tnu7atyg8wnl4eruup86
Current NFT ID #244580 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244580
Accession (UniProt):
B9J176
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9J176 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9J176|MSCL_BACCQ Large-conductance mechanosensitive channel OS=Bacillus cereus (strain Q1) OX=361100 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVVDLAVGVVIGAAFGKIVSSLVKDVITPLLGMVLGGVDFTDLKLTFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSRKEEEEKEEEIPEPTKEEVLLGEIRDLLKQQNSSKDRA