Q816Z0 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeideh4cvxcux7ju2has7nqc7vjnpb4ee3o5wxjhdgm42t5liq6hiqi/metadata.json
IPFS of structure file: 
bafybeidbtvcbgu5xbq54vgxzrgypr7nqioc3u7mknkrynkxzl6eeqsmmza/AF-Q816Z0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x98bD5c75927e9e85314A9C46b5b994202274a8a5
First NFT owner address (bech32): 
genesis1nz74cavj060g2v22n3rttwv5yq38f299u70zsl
Current NFT ID #244581 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244581
Accession (UniProt):
Q816Z0
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q816Z0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q816Z0|MSCL_BACCR Large-conductance mechanosensitive channel OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVVDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTSLHFGYGKSAVMYGNFIQTIFDFLIIAASIFMFVKVFNKLTSKKEEEKEEEIPEPTKEEELLGEIRDLLKQQNSSKDRA