A0RJR6 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihflvj3ogrzxtavlf3dn4vyk3vtvzd45iykp2qckd52h6xfboxqzm/metadata.json
IPFS of structure file: 
bafybeibmoowwt3xb5akh2ic6t3nuyucr5s45l6cp23sinzjadjq6bjtiai/AF-A0RJR6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a08622d8Ce7E2Ea843cC0bE0675DB7e6a31CcCD
First NFT owner address (bech32): 
genesis10gyxytvvul3w4ppuczlqvawm0e4rrnxdlgvwf5
Current NFT ID #244571 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244571
Accession (UniProt):
A0RJR6
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RJR6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RJR6|MSCL_BACAH Large-conductance mechanosensitive channel OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVIDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTGLKITFGKASIMYGKFIQTIFDFLIIAAAIFMFVKVFNKLTSKREEEKEEELPEPTKEEELLGEIRDLLKQQNSSKDRA