Q0HQW4 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaypft4s2n2kfe5g2pqq4xlm5cjf2v6uca5gpcbvdhkqxwwgfxenm/metadata.json
IPFS of structure file: 
bafybeietj6fegwezz4qsl5a5u454rxdx4oqh6u7ijbz5wyxktrv5ut7lw4/AF-Q0HQW4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x934f84D099E5FEaBA89bC58DBEB7366EFF6BF871
First NFT owner address (bech32): 
genesis1jd8cf5yeuhl2h2ymckxmadekdmlkh7r3fcyd0m
Current NFT ID #244858 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244858
Accession (UniProt):
Q0HQW4
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-7)

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 Q0HQW4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HQW4|MSCL_SHESR Large-conductance mechanosensitive channel OS=Shewanella sp. (strain MR-7) OX=60481 GN=mscL PE=3 SV=1 MSLIKEFKAFASRGNVIDMAVGIIIGAAFGKIVSSFVADIIMPPIGIILGGVNFSDLSIVLQAAQGDAPAVVIAYGKFIQTVIDFTIIAFAIFMGLKAINSLKRKQEEAPKAPPAPTKDQELLSEIRDLLKAQQEK