Q8ZJ83 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidi6pe3pgyuftnadfrwudyb77yr65qkcn5jgh2lscid3oujahj53u/metadata.json
IPFS of structure file: 
bafybeidgsg3pwcgw7oktbthuj7t7f2wdonxjxngkmwj27o32f7onmc7kum/AF-Q8ZJ83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x981874BE48BB9B402a2B2B7e233BD910bFf1b4D8
First NFT owner address (bech32): 
genesis1nqv8f0jghwd5q23t9dlzxw7ezzllrdxcs4me2d
Current NFT ID #244918 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244918
Accession (UniProt):
Q8ZJ83
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q8ZJ83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8ZJ83|MSCL_YERPE Large-conductance mechanosensitive channel OS=Yersinia pestis OX=632 GN=mscL PE=3 SV=1 MSFMKEFREFAMRGNVVDLAVGVIIGAAFGRIVSSLVADIIMPPLGLLLGGVDFKQFHFVLRAAEGTIPAVVMNYGTFIQSIFDFVIVALAIFSAVKLMNKLRREKAEEEPATPPAPTTEEILLAEIRDLLKAQHTK