A7Z9K9 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiffbrhgh7m3mudxbyhvche5yaq3yanttpnh3rnubzz3uv4pcmu73a/metadata.json
IPFS of structure file: 
bafybeiakqqistoo7btelzbv3qhkzfi5vkptayaiq6rzxlz45um7z6duniy/AF-A7Z9K9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7e0FFEEde44b37B891B739816c83d100c7a675E3
First NFT owner address (bech32): 
genesis10c8lam0yfvmm3ydh8xqkeq73qrr6va0rjas0sp
Current NFT ID #244591 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244591
Accession (UniProt):
A7Z9K9
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z9K9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z9K9|MSCL_BACVZ Large-conductance mechanosensitive channel OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=mscL PE=3 SV=1 MWSEFKSFAMRGNIMDLAIGVVIGGAFGKIVTSLVEDIIMPLVGLLLGGLDFSGLAVTFGDAHIKYGSFIQTIVNFFIISFSIFIVIRTIGKLRRKKEAEEEAEEAEETDQQTELLTEIRDLLKQRAPHND