Q1H3M0 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibirugx36rxruqs6u2sgu3nsq5eusiitk7xsv7ibss2jy4c7jvp3y/metadata.json
IPFS of structure file: 
bafybeidclmzvvvenp5ns5l7qfbrvhsrtpx54opecqgqej5wm2fwxm2rdz4/AF-Q1H3M0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB4A37162249b8bb2099dCDA2B73160a0D5000650
First NFT owner address (bech32): 
genesis1kj3hzc3ynw9myzvaek3twvtq5r2sqpjswd0f4u
Current NFT ID #244759 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244759
Accession (UniProt):
Q1H3M0
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875)

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 Q1H3M0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1H3M0|MSCL_METFK Large-conductance mechanosensitive channel OS=Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875) OX=265072 GN=mscL PE=3 SV=1 MFKEFKAFAMRGNVVDMAVGIIIGAAFGAIVKSLVDDVIMPPIGLLLGNVDFSNLFIVLKDGAEVAPPYASVAAAQAAGAVTLNYGLFINAVVSFTIVAFAVFLLIRAINKLKAEEPAAPEVTPEDIVLLREIRDALKK