Q82ZB4 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifuj5u57r5gnszsj7vykxtym6prgctgcrv25anfbxizz6eua7khnu/metadata.json
IPFS of structure file: 
bafybeicr7vhe3enpbroty45z6tq4zhkcd73ksdo3gpu3qs6t4rwki7ysem/AF-Q82ZB4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x33518602616d09288Bc21CC74d137782b749EFb2
First NFT owner address (bech32): 
genesis1xdgcvqnpd5yj3z7zrnr56ymhs2m5nmajqedmls
Current NFT ID #244695 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244695
Accession (UniProt):
Q82ZB4
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
ENTEROCOCCUS FAECALIS (STRAIN ATCC 700802 / V583)

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 Q82ZB4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q82ZB4|MSCL_ENTFA Large-conductance mechanosensitive channel OS=Enterococcus faecalis (strain ATCC 700802 / V583) OX=226185 GN=mscL PE=3 SV=1 MIKEFKEFIMRGSVLDLAVGVVIGSAFTAIVTQVVEGLITPLISLIFVLTTGKKSADDALGALVYKVEGVEFNIGSVISALITFLITAFVLFLIVKAANKMKNRGKKEEAAEEEVVPTSEDYLKEIRDLLAAQTPPAETVKTDSTFTEK