Q6GH57 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3vtfxkfxq2p7spnxlqk3tgfmqjygvis6ye6aiwrojvhnaxejyju/metadata.json
IPFS of structure file: 
bafybeia5utbtfbr7d3go7q35znqq7oquk2gt5p2rvk2bkgnoitbytt2l54/AF-Q6GH57-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78E02741c464ef98E657BcA3A3Af5D627FFc9E3c
First NFT owner address (bech32): 
genesis10rszwswyvnhe3ejhhj368t6avflle83ur0w8h6
Current NFT ID #244877 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244877
Accession (UniProt):
Q6GH57
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MRSA252)

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 Q6GH57 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6GH57|MSCL_STAAR Large-conductance mechanosensitive channel OS=Staphylococcus aureus (strain MRSA252) OX=282458 GN=mscL PE=3 SV=1 MLKEFKEFALKGNVLDLAIAVVMGAAFNKIISSLVENIIMPLIGKIFGSVDFAKEWSFWGIKYGLFIQSVIDFIIIAFALFIFVKIANTLMKKEEAEEEAVVEENVVLLTEIRDLLREKK