Q5ZSH7 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidywtpqzmwrb6adbcwwjyt7u6wazfj7ix6riehduw7dice3og3jqe/metadata.json
IPFS of structure file: 
bafybeih6eixgpyg54grk6hcc7zvyljvzaranbtqahdsrqr2auxbf2kvrsi/AF-Q5ZSH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf5567289a402247712A16D11AE2AE49A271D7451
First NFT owner address (bech32): 
genesis174t89zdyqgj8wy4pd5g6u2hyngn36az3gvkhqv
Current NFT ID #244738 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244738
Accession (UniProt):
Q5ZSH7
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
LEGIONELLA PNEUMOPHILA SUBSP. PNEUMOPHILA (STRAIN PHILADELPHIA 1 / ATCC 33152 / DSM 7513)

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 Q5ZSH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5ZSH7|MSCL_LEGPH Large-conductance mechanosensitive channel OS=Legionella pneumophila subsp. pneumophila (strain Philadelphia 1 / ATCC 33152 / DSM 7513) OX=272624 GN=mscL PE=3 SV=1 MSLLKEFKEFAMRGNVMDLAVAVVMGVAFNKIVTALVDGIIMPCVGLLLGGINIAGLSFTVGDVQIKWGNFLQNVIDFIIVAFAIFVLIKLINLLQRKKANEPEPVTPEIQLLTEIRDLLARNSSKI