Q1CCX2 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjea6vzabbx5xyykeltyxezwito3ljusflvd4kfsuspqvgkcs4xi/metadata.json
IPFS of structure file: 
bafybeigv56kboffwu4zlmbkztnktb4xzl6ixq4wesymefvqr7wjcvaq74m/AF-Q1CCX2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x77ced317A34D07425C0D730f27048EFb6B0c5E7C
First NFT owner address (bech32): 
genesis1wl8dx9arf5r5yhqdwv8jwpywld4schnuautkfz
Current NFT ID #244920 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244920
Accession (UniProt):
Q1CCX2
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CCX2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CCX2|MSCL_YERPN Large-conductance mechanosensitive channel OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=mscL PE=3 SV=1 MSFMKEFREFAMRGNVVDLAVGVIIGAAFGRIVSSLVADIIMPPLGLLLGGVDFKQFHFVLRAAEGTIPAVVMNYGTFIQSIFDFVIVALAIFSAVKLMNKLRREKAEEEPATPPAPTTEEILLAEIRDLLKAQHTK