Q6G160 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicebiaznr5oxcsyps2iqnuuaw7rdefxltcedagdoktelr7js7vncy/metadata.json
IPFS of structure file: 
bafybeihsf7djm4jvdg3hxg7yvu5emlaozl6x6sbiq5a7i27x7hsu7fs5gm/AF-Q6G160-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #244594 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244594
Accession (UniProt):
Q6G160
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bartonella quintana (strain Toulouse)

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 Q6G160 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6G160|MSCL_BARQU Large-conductance mechanosensitive channel OS=Bartonella quintana (strain Toulouse) OX=283165 GN=mscL PE=3 SV=1 MLKEFKEFALKGNMIDLAIGVIIGGAFGGLVNSIVNDILMPIIGFITGGIDFSNMFIQLAGEKQATLSAAKTAGATISYGNFITLLINFLIIAWVLFLFVKGMNKIRRKQEKEESSKKMSLEEQLLSEIRDLLAKKK