C1EV23 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7zvr4nqvhyso26jwbo36rkoax27jfhzzme4lfue5c2ywvx5mbxq/metadata.json
IPFS of structure file: 
bafybeiengwutrwbqwfwjvv7odg64hiayuodlnt4uoybnv63dddbuhonfji/AF-C1EV23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA4D9B5300039B74C1Cd502B506a822364e6BC90A
First NFT owner address (bech32): 
genesis15nvm2vqq8xm5c8x4q26sd2pzxe8xhjg2atr5x9
Current NFT ID #244576 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244576
Accession (UniProt):
C1EV23
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain 03BB102)

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 C1EV23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1EV23|MSCL_BACC3 Large-conductance mechanosensitive channel OS=Bacillus cereus (strain 03BB102) OX=572264 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVIDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTDLKITFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSKREEEKEEEIPEPTKEEELLGEIRDLLKQQNSSKDRA