Q1GUG3 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieinn4d7r7bonxwiiwxnixbbtaxlvxgpc5lu3vg6qovchqvcuprce/metadata.json
IPFS of structure file: 
bafybeiebx33dgabtqc6ys3zt2h644eox4myf3k3k7ts2wdfprlccpralma/AF-Q1GUG3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x576AbE9948fdf53cF041C558443887E553DF5B89
First NFT owner address (bech32): 
genesis12a4tax2glh6neuzpc4vygwy8u4fa7kuft36gue
Current NFT ID #244866 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244866
Accession (UniProt):
Q1GUG3
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
SPHINGOPYXIS ALASKENSIS (STRAIN DSM 13593 / LMG 18877 / RB2256)

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 Q1GUG3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1GUG3|MSCL_SPHAL Large-conductance mechanosensitive channel OS=Sphingopyxis alaskensis (strain DSM 13593 / LMG 18877 / RB2256) OX=317655 GN=mscL PE=3 SV=1 MLGEFRQFIARGNVMDLAVGVIIGGAFATITGSLTEDVIMPLVGALFGGVDFSNRFILLGSVPDGMSATDYAALKEAGVAMIGYGAFVTAVINFLILAFIIFLLVRWVNKVVRKPEADASPAGPSEVDLLTEIRDELRRK