Q03SF6 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxgkaji4ew7bfxbpgkdnuypmmrulcrwzxizxaivhxysghtd5cnpm/metadata.json
IPFS of structure file: 
bafybeifv5xvzqkia6dglbd4y5kbhze3i5o4mv73uspbm4ditzl7a2ix3si/AF-Q03SF6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1B9Be4d3bCB04cc5b127c63c2Fbac7783eAB9839
First NFT owner address (bech32): 
genesis1rwd7f5aukpxvtvf8cc7zlwk80ql2hxpep9c406
Current NFT ID #244743 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244743
Accession (UniProt):
Q03SF6
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947)

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 Q03SF6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03SF6|MSCL_LEVBA Large-conductance mechanosensitive channel OS=Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947) OX=387344 GN=mscL PE=3 SV=1 MLKEFKEFIARGNVMDLAVGVIVGAAFTAIVNSLVTNIINPLLGIFVGSIDFSNLVFTVGSAHFRYGAFINSVINFLIIAFVVFLLIKLINKLIAKPAEEPEEAVPSQEEKYLQEIVELLKQDKIEH