Q1QL44 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeict3ksjouqbthfg53eao6mhcdybq5j72v64ni7q2vcydinf73ebr4/metadata.json
IPFS of structure file: 
bafybeia7iryad5dpdug46nqrmok37dftjvsamqhrb7zml72hqrj4gra2t4/AF-Q1QL44-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x14e3D3D7fc908883E70D95e86A821e0ab76F1E41
First NFT owner address (bech32): 
genesis1zn3a84lujzyg8ecdjh5x4qs7p2mk78jpskwgqy
Current NFT ID #244774 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244774
Accession (UniProt):
Q1QL44
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Nitrobacter hamburgensis (strain DSM 10229 / NCIMB 13809 / X14)

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 Q1QL44 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1QL44|MSCL_NITHX Large-conductance mechanosensitive channel OS=Nitrobacter hamburgensis (strain DSM 10229 / NCIMB 13809 / X14) OX=323097 GN=mscL PE=3 SV=1 MLKEFREFAMKGNVVDLAVAVIIGAAFGAIVSSMVADVIMPIIGAVTGGLDFSNYFTGLSKTVTATNLADAKKQGAVLAWGNFLTLTLNFLIVAFVLFMVVRFMSKLKRKDEAAPAAPPKPTREEELLTEIRDLLKTKK