C3PBD7 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidhhy7ieyrpqcpalof47ysuxvjai4hnwrfwnatbhmchnseke6xpem/metadata.json
IPFS of structure file: 
bafybeieikbpjsbjaivkkruikoxwoaxigjrnqmnnmqmj4p4sgpia5to2vk4/AF-C3PBD7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFCd07EE2Dc6A020627FBe36C379d324e4f874651
First NFT owner address (bech32): 
genesis1lng8ackudgpqvflmudkr08fjfe8cw3j3pdd6c0
Current NFT ID #244569 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244569
Accession (UniProt):
C3PBD7
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus anthracis (strain A0248)

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 C3PBD7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3PBD7|MSCL_BACAA Large-conductance mechanosensitive channel OS=Bacillus anthracis (strain A0248) OX=592021 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVIDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVDFTDLKITFGKSSIMYGNFIQTIFDFLIIAAAIFMFVKVFNKLTSKREEEKEEEIPEPTKEEELLGEIRDLLKQQNSSKDRA