Q65QF7 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibd5qbi7va6w4nj7dfxeze43nfjw7f2yhvmwyxvgn2qkyzmx3juzq/metadata.json
IPFS of structure file: 
bafybeianrk4nuzt2g7jjy44wcc64sd22gn63x4imqefmdakcui6e46cezu/AF-Q65QF7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2a931c87A5700ACa8BF19aB91e1bcC88a9EdAebB
First NFT owner address (bech32): 
genesis192f3epa9wq9v4zl3n2u3ux7v3z57mt4mgwghx5
Current NFT ID #244756 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244756
Accession (UniProt):
Q65QF7
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
MANNHEIMIA SUCCINICIPRODUCENS (STRAIN MBEL55E)

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 Q65QF7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65QF7|MSCL_MANSM Large-conductance mechanosensitive channel OS=Mannheimia succiniciproducens (strain MBEL55E) OX=221988 GN=mscL PE=3 SV=2 MSFMKEFREFAMRGNVVDMAVGVIIGGAFGKIVSSLVGDVVMPVLGILTGGVDFKDLKFVLAEAVGETPAVTLNYGLFIQNVFDFIIIAFAIFMMVKGINKLKKPVEEAPKGPTSEELLSEIRDLLKK