B7H732 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibcdjy2qpjbmfggezqjujz6l5rdkwccp7clj6ff5xqt6lvkiur544/metadata.json
IPFS of structure file: 
bafybeiebezcbdgy6ns5syu2t53k5keqlnfjznm4gvfguvq6bcrksxrxiou/AF-B7H732-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x360B8dA9b6354DB9f5f9D83837B4234471f42C81
First NFT owner address (bech32): 
genesis1xc9cm2dkx4xmna0emqur0dprg3clgtypuhmhnw
Current NFT ID #244577 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244577
Accession (UniProt):
B7H732
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain B4264)

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 B7H732 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7H732|MSCL_BACC4 Large-conductance mechanosensitive channel OS=Bacillus cereus (strain B4264) OX=405532 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVVDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTSLHFGYGKSAVMYGNFIQTIFDFLIIAASIFMFVKVFNKLTSKKEEEKEEEIPEPTKEEELLGEIRDLLKQQNSSKDRA