B5F7R7 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie45vbhv7odzowzvzzzgvtvymyh3nrzski6bvcif6uzve572vdwpe/metadata.json
IPFS of structure file: 
bafybeig67yp2buxf6dhf6swa6574qmpkpcpeyzvqxqspwbtolk3fgjw7cm/AF-B5F7R7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCbAB44eAF7010f6D58F509F23fD04415aAbC4Fba
First NFT owner address (bech32): 
genesis1ew45f6hhqy8k6k84p8erl5zyzk4tcna6tm8de9
Current NFT ID #244834 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244834
Accession (UniProt):
B5F7R7
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Salmonella agona (strain SL483)

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 B5F7R7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5F7R7|MSCL_SALA4 Large-conductance mechanosensitive channel OS=Salmonella agona (strain SL483) OX=454166 GN=mscL PE=3 SV=1 MSFIKEFREFAMRGNVVDLAVGVIIGAAFGKIVSSLVADIIMPPLGLLIGGIDFKQFAFTLREAQGDIPAVVMHYGVFIQNVFDFVIVAFAIFVAIKLINRLNRKKAEEPAAPPAPSKEEVLLGEIRDLLKEQNNRS