P0A742 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic3tngh54627fa5bjcxdtzkczloy44gnj5tmt3t2po2u477ytms24/metadata.json
IPFS of structure file: 
bafybeid3ytwyzw4ex6wkmqrrxj5u6rm6yqjek3wz35umnvf5hbjexgedey/AF-P0A742-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #244689 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244689
Accession (UniProt):
P0A742
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI (STRAIN K12)

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 P0A742 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A742|MSCL_ECOLI Large-conductance mechanosensitive channel OS=Escherichia coli (strain K12) OX=83333 GN=mscL PE=1 SV=1 MSIIKEFREFAMRGNVVDLAVGVIIGAAFGKIVSSLVADIIMPPLGLLIGGIDFKQFAVTLRDAQGDIPAVVMHYGVFIQNVFDFLIVAFAIFMAIKLINKLNRKKEEPAAAPAPTKEEVLLTEIRDLLKEQNNRS