C5DA22 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicoxyfwieyscwbwwgfwrssmxvsmu4m6qkagx55iixj3vayejqoifq/metadata.json
IPFS of structure file: 
bafybeic2hd6mrb2bew5wwh56gny35bdrpq4ccyihuwgojbvouflfv4dazq/AF-C5DA22-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x704b266C60eE3C2b5627B10EA6a5488E5F686b34
First NFT owner address (bech32): 
genesis1wp9jvmrqac7zk438ky82df2g3e0ks6e5y02nwv
Current NFT ID #244707 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244707
Accession (UniProt):
C5DA22
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Geobacillus sp. (strain WCH70)

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 C5DA22 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5DA22|MSCL_GEOSW Large-conductance mechanosensitive channel OS=Geobacillus sp. (strain WCH70) OX=471223 GN=mscL PE=3 SV=1 MWKEFKEFAMRGNVVDLAVGVIIGGAFGKIVSSLVNDILMPLVGLLLGGVDFSGLSWKFGKAVVKYGMFIQTVVDFFIISFSIFVFVKVLNKLYWHNKKEEEIKDTAPTLTKEEELLMEIRDLLKQQRETR