P9WJN4 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieefck26m6atf7ffgno7ua43liy6ywjg3v3bh6besfkriiuuhixxa/metadata.json
IPFS of structure file: 
bafybeicklax6kqxp3sd7biauufwrf6bb5h72ybggkzyvpgraa6oc2aqh2m/AF-P9WJN4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x772Ab9c83CD1f043C1F4260A1CaF6597998cE1BA
First NFT owner address (bech32): 
genesis1wu4tnjpu68cy8s05yc9petm9j7vcecd6z9l5dr
Current NFT ID #244771 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244771
Accession (UniProt):
P9WJN4
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WJN4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJN4|MSCL_MYCTO Large-conductance mechanosensitive channel OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=mscL PE=3 SV=1 MLKGFKEFLARGNIVDLAVAVVIGTAFTALVTKFTDSIITPLINRIGVNAQSDVGILRIGIGGGQTIDLNVLLSAAINFFLIAFAVYFLVVLPYNTLRKKGEVEQPGDTQVVLLTEIRDLLAQTNGDSPGRHGGRGTPSPTDGPRASTESQ