Q02G63 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5wgjgukkkzkoqxpjqujbrvmlk4lmzomoy5j4bqpys4xgatwg5ra/metadata.json
IPFS of structure file: 
bafybeigmiiciskmit7iht4mlgge3mesvxoerogxnkn3m6g7nzgiyxzizu4/AF-Q02G63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x731d8ea2236F13759e0bE3C1C2bA23586AF10363
First NFT owner address (bech32): 
genesis1wvwcag3rdufht8stu0qu9w3rtp40zqmr8s0rpt
Current NFT ID #244802 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244802
Accession (UniProt):
Q02G63
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN UCBPP-PA14)

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 Q02G63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q02G63|MSCL_PSEAB Large-conductance mechanosensitive channel OS=Pseudomonas aeruginosa (strain UCBPP-PA14) OX=208963 GN=mscL PE=3 SV=1 MGLLSEFKAFAVKGNVVDMAVGIIIGAAFGKIVSSFVGDVIMPPIGLLIGGVDFSDLAITLKAAEGDVPAVVLAYGKFIQTILDFVIVAFAIFMGVKAINRLKREEAVAPSEPPVPSAEETLLTEIRDLLKAQQNKS