Q9X722 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifufdghwjmi2an7hyar5o3csedjozy56j54ovx4qdiipp5eyd6oza/metadata.json
IPFS of structure file: 
bafybeiaumb6b6xfezbi7gmq22b5q3btdsyzt3td25j4rxt4jkon333ybsi/AF-Q9X722-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x442Bc55C6D07c5f11D2798821a504d57d5208A2c
First NFT owner address (bech32): 
genesis1gs4u2hrdqlzlz8f8nzpp55zd2l2jpz3v7za2s6
Current NFT ID #244716 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244716
Accession (UniProt):
Q9X722
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
HATHEWAYA HISTOLYTICA

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 Q9X722 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X722|MSCL_HATHI Large-conductance mechanosensitive channel OS=Hathewaya histolytica OX=1498 GN=mscL PE=3 SV=1 MWKDFKEFAMKGNVVDLAVGVIIGGAFGKIVTSLVNDVIMPILGLILGGINFTSAKLTLHGLNSEKPLTLNYGQFIQNILDFLIISFSIFLFIRLINRFKRKEEAVEEAKIPEISREEELLGEIRDLLKEKNK