Q9HLU2 AF NFT

Putative quercetin 2,3-dioxygenase Ta0133

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxksomoti4l6dgn25pkm4sh3vmp34uxxh3kje3anooljm4vxu7x4/metadata.json
IPFS of structure file: 
bafybeigylq6gvp3wrno2mqn5x26pabvja26nbfmwsz4vqxpcnfng3gntaq/AF-Q9HLU2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #506110 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
506110
Accession (UniProt):
Q9HLU2
Name::
Putative quercetin 2,3-dioxygenase Ta0133
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HLU2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HLU2|Y133_THEAC Putative quercetin 2,3-dioxygenase Ta0133 OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=Ta0133 PE=3 SV=1 MFGSDNRADYDNGFPWHPHRGIETITYQIKGKTFHEDSEGHRGIIAPGEIQWMTAGSGIFHEEMPKPIYYGEENKYRERNDSNAGIQLWLNMPASSKMADPAYRSIRSDQIPQISDDYGNRIRIVAGTVNRVSGALNENFQYDLMQRIDPYYVEILMEPDTRTSLSVPEGHRAIMAIVEGSIRVNGSTFNEKNVAVLSKEGTDIFIDSQANSRLIFLAGKPLNEPIAWYGPIVMNTRDQLIQAFNELQEGKFVKNRNPVWQ