Q31VY6 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamjqur2tbwjnrjy6gf6oa4niovum63yhyisa6ye7oagpsc2fx5ji/metadata.json
IPFS of structure file: 
bafybeietgcomuowryzoepjrmylh2qeoa4a4pvde73tnj7cn6w52brggtbi/AF-Q31VY6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x09500904D86d710B2B1ee7780e9A1c576CcB88C6
First NFT owner address (bech32): 
genesis1p9gqjpxcd4csk2c7uauqaxsu2akvhzxx6dqy52
Current NFT ID #244861 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244861
Accession (UniProt):
Q31VY6
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Shigella boydii serotype 4 (strain Sb227)

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 Q31VY6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q31VY6|MSCL_SHIBS Large-conductance mechanosensitive channel OS=Shigella boydii serotype 4 (strain Sb227) OX=300268 GN=mscL PE=3 SV=1 MSIIKEFREFAMRGNVVDLAVGVIIGAAFGKIVSSLVADIIMPPLGLLIGGIDFKQFAVTLRDAQGDIPAVVMHYGVFIQNVFDFLIVAFAIFMAIKLINKLNRKKEEPAAAPAPTKEEVLLAEIRDLLKEQNNRS