C3L9Y0 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiapel57oe2iqqayjys2yzwpcy367ubxpe2s4b7btsmogqstxk5scq/metadata.json
IPFS of structure file: 
bafybeigbq73yt4jihrw2glyy2ibhbjs2dkierdz4vywmhf72uyhspulrvi/AF-C3L9Y0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xad6F273A0774F9dD08F36bf32f4127d1f502a166
First NFT owner address (bech32): 
genesis144hjwws8wnua6z8nd0ej7sf8686s9gtxfkdu5m
Current NFT ID #244570 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244570
Accession (UniProt):
C3L9Y0
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus anthracis (strain CDC 684 / NRRL 3495)

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 C3L9Y0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3L9Y0|MSCL_BACAC Large-conductance mechanosensitive channel OS=Bacillus anthracis (strain CDC 684 / NRRL 3495) OX=568206 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVIDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTDLKITFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSKREEEKEEEIPEPTKEEELLGEIRDLLKQQNSSKDRA