P9WJN5 Large-conductance mechanosensitive channel MolNFT, Molecular NFT on GenesisL1

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeia3gmrphmuh2ulip4tjoyymhsolk5np2apvblte4i6hptjrzaqdgu/metadata.json

IPFS of structure file:

bafybeidzswdmkc22iylbotkzxp2db42jtfni7d3fmdnm22cofejxje353y/AF-P9WJN5-F1-model_v2.pdb

First NFT owner address (eip-55):

0xc6B41bCaA1d08E785B5F25B38baDB815ab7D4970

First NFT owner address (bech32):

genesis1c66phj4p6z88sk6lykechtdczk4h6jtsdkp23f

Current NFT ID #244772 owner (web3):

0xD46DA32B7720c71602C83cB010B3A9c4840f5D93

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244772
Accession (UniProt):
P9WJN5
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WJN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJN5|MSCL_MYCTU Large-conductance mechanosensitive channel OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=mscL PE=1 SV=1 MLKGFKEFLARGNIVDLAVAVVIGTAFTALVTKFTDSIITPLINRIGVNAQSDVGILRIGIGGGQTIDLNVLLSAAINFFLIAFAVYFLVVLPYNTLRKKGEVEQPGDTQVVLLTEIRDLLAQTNGDSPGRHGGRGTPSPTDGPRASTESQ

P9WJN5 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P9WJN5 research and analysis (ICN3D with VR)

FASTA sequences

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