Q5L081 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicymisbph2rnxbw7nhqgmzliuuvaespppuaaxv74pvkvmkyhjnq5i/metadata.json
IPFS of structure file: 
bafybeifbfdp4zzq5rb4gs2z3c4hxhplt57loorrzllnkwex42wh3phypua/AF-Q5L081-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c401a2AE9a06b2E7F7452570800CDb8584B970F
First NFT owner address (bech32): 
genesis1t3qp52hf5p4julm52ftssqxdhpvyh9c0v29ktn
Current NFT ID #244704 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244704
Accession (UniProt):
Q5L081
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
GEOBACILLUS KAUSTOPHILUS (STRAIN HTA426)

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 Q5L081 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5L081|MSCL_GEOKA Large-conductance mechanosensitive channel OS=Geobacillus kaustophilus (strain HTA426) OX=235909 GN=mscL PE=3 SV=1 MWNEFKKFAIRGNVIDLAVGVIIGGAFGKIVSSLVNDIIMPLVGLILGGINFSDLSWKVGKAEVKYGAFIQTVVDFLIIAFSIFLFVKLINTLYERVKKQEEVKETAPTLTKEEELLTEIRDLLKQQRETT