B3QN57 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3vwzezk6ds3tmg3ajojtasq3yt5k25pxi4dlto2lz4gdrgdudze/metadata.json
IPFS of structure file: 
bafybeieud4qhsmgehjqeqxs4wi2qxv6m5733v4dvhb7vdxycbnwhm3q5km/AF-B3QN57-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #244648 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244648
Accession (UniProt):
B3QN57
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Chlorobaculum parvum (strain DSM 263 / NCIMB 8327)

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 B3QN57 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3QN57|MSCL_CHLP8 Large-conductance mechanosensitive channel OS=Chlorobaculum parvum (strain DSM 263 / NCIMB 8327) OX=517417 GN=mscL PE=3 SV=1 MLKEFKEFALKGNVVDMAVGIIIGGAFTGIVKSLVGDVLTPPLGLLLNGVDFTNLFVVLKEGATPGPYLALEQAQSAGAVTLNYGLFINAFISFVIMAVAVFFLVRGINRLRKMTEKPPEPAAAPDTKECPFCFSAIPVKAVRCPNCTSQL