Q0BEC9 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeighdjrazuibmlvnufxdajsoj7gljvfydxwf5aiwjlf2u2dg7iui5i/metadata.json
IPFS of structure file: 
bafybeidprdtktmvqvlvuokpwjb4p3yjv7xpgtagdc6t2cyav7oqhvdaz34/AF-Q0BEC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1605bafEafDC31496B5Ed55692844C50cdEb94E2
First NFT owner address (bech32): 
genesis1zczm4l40msc5j66764tf9pzv2rx7h98zev3pdy
Current NFT ID #244621 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244621
Accession (UniProt):
Q0BEC9
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA AMBIFARIA (STRAIN ATCC BAA-244 / AMMD)

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 Q0BEC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BEC9|MSCL_BURCM Large-conductance mechanosensitive channel OS=Burkholderia ambifaria (strain ATCC BAA-244 / AMMD) OX=339670 GN=mscL PE=3 SV=1 MSIIKEFKEFAVKGNVMDLAVGVIIGGAFSKIVDSVVKDLIMPVIGVLTGGLDFSNKFVLLGTIPPTFKGNPDSFKDLQAAGVAAFGYGSFITVAINFVILAFIIFLMVKFINKLRKPEEAAPAATPEDIVLLREIRDSLKQR