Q6HCK7 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaptqeg6nuvpexlanzjwlyh5srhdpo2helolibu3joeb4p757jvm4/metadata.json
IPFS of structure file: 
bafybeibgfc7ul2ewbqmhhsc7xugojuxvpdk44kloheadzplnkgmdpvwtny/AF-Q6HCK7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4cAEB4755744576CC7C74cfdE50cE222de773212
First NFT owner address (bech32): 
genesis1fjhtga2hg3tke378fn772r8zyt08wvsjmawzwc
Current NFT ID #244585 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244585
Accession (UniProt):
Q6HCK7
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis subsp. konkukian (strain 97-27)

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 Q6HCK7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6HCK7|MSCL_BACHK Large-conductance mechanosensitive channel OS=Bacillus thuringiensis subsp. konkukian (strain 97-27) OX=281309 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVIDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTDLKITFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSKREEEKEEEIPEPTKEEELLGEIRDLLKQQNSSKDRA