Q7W079 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih7s5yp46hwxo3iwzm5ey32l3cp6ixpzcyleygvaddyyih7adkciq/metadata.json
IPFS of structure file: 
bafybeig7cwij6p3yxx7fmejlwtsxdbg36keo7jmxktkxs4znnzmguxbxxa/AF-Q7W079-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x133CEeEaaE94bD85f7dDfB92dd226C748EAE2Ac5
First NFT owner address (bech32): 
genesis1zv7wa64wjj7cta7alwfd6gnvwj82u2k9mz0ret
Current NFT ID #244601 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244601
Accession (UniProt):
Q7W079
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7W079 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W079|MSCL_BORPE Large-conductance mechanosensitive channel OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=mscL PE=3 SV=1 MSKATGFIKEFRDFAVKGNAIDLAVGVIIGAAFGKIVDSLVKDVVMPLVNFILGGSVDFSNKFLVLSMPDGYTGPMTYADLTKAGANVLAWGNFITIIINFVLLAFVIFWMVKAIYFARRKEEAAPEAPAAPPEDVTVLREIRDLLKDKQGS