Q7W2W9 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2wj3vinosq5tvngeux752dpjgc4vbnaig7wbx3mdxudxlak4t4q/metadata.json
IPFS of structure file: 
bafybeid2essd3lmfr3vuf44ed62wnvhpcfy5vzc2wheve4otfslyu6uy7e/AF-Q7W2W9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x980A8F29288e5e2E590e10bcd7a58B08E402ab91
First NFT owner address (bech32): 
genesis1nq9g72fg3e0zukgwzz7d0fvtprjq92u3lt9kw7
Current NFT ID #244599 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244599
Accession (UniProt):
Q7W2W9
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7W2W9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W2W9|MSCL_BORPA Large-conductance mechanosensitive channel OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=mscL PE=3 SV=1 MSKATGFIKEFRDFAVKGNAIDLAVGVIIGAAFGKIVDSLVKDVVMPLVNFILGGSVDFSNKFLVLSMPDGYTGPMMYADLTKAGANVLAWGNFITIIINFVLLAFVIFWMVKAIYSARRKEEAAPEAPAAPPEDVTVLREIRDLLKDKQGS