A9VKI1 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiakmu3lb26df27jajxq5xzr5uheyfsacsgj4llaonkjsfieerguiq/metadata.json
IPFS of structure file: 
bafybeibxsvcyt36vap4e44qqfgpwm54wgmklb7s2jitfbjtgpsdldmeyme/AF-A9VKI1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbbF4C29C4CA5f69fa0b37dDd9EcF5f8213FF5778
First NFT owner address (bech32): 
genesis1h06v98zv5hmflg9n0hwean6lsgfl74mc4nvntk
Current NFT ID #244587 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244587
Accession (UniProt):
A9VKI1
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus mycoides (strain KBAB4)

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 A9VKI1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9VKI1|MSCL_BACMK Large-conductance mechanosensitive channel OS=Bacillus mycoides (strain KBAB4) OX=315730 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVIDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVNFTDLKLTFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSKREEEEKKEELPEPTKEEEILGEIRDLLKQQNSSKDRA