Q39FB0 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifs462lkxcizxjpl5fuwbnajbrzo3gqtozwotwvpqgmws3rg4g65a/metadata.json
IPFS of structure file: 
bafybeicahtkc7bly4bzkzhq6ivta3yx277jf67vvmgvowzqpgfjvvqeaky/AF-Q39FB0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x73dc51dd3A4C9b11b63F870AB7aa6Bca29c35a12
First NFT owner address (bech32): 
genesis1w0w9rhf6fjd3rd3lsu9t02nteg5uxksjz2m0fp
Current NFT ID #244622 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244622
Accession (UniProt):
Q39FB0
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA LATA (STRAIN ATCC 17760 / DSM 23089 / LMG 22485 / NCIMB 9086 / R18194 / 383)

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 Q39FB0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39FB0|MSCL_BURL3 Large-conductance mechanosensitive channel OS=Burkholderia lata (strain ATCC 17760 / DSM 23089 / LMG 22485 / NCIMB 9086 / R18194 / 383) OX=482957 GN=mscL PE=3 SV=1 MSIIKEFKEFAVKGNVMDLAVGVIIGGAFSKIVDSVVKDLIMPVIGVLTGGLDFSNKFVLLGTIPPTFKGNPDSFKDLQAAGVAAFGYGSFITVAINFVILAFIIFLMVKFINKLRKPEEAAPAATPEDTVLLREIRDSLKQR