A4THC4 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicijwzbuthmlzh74fzclriz65j6k4qryby3npc6x2jo3fddayjgmi/metadata.json
IPFS of structure file: 
bafybeiga6xlcwtnvcmvj475jvp5mik27wygxaqt3bxklaogu375d4jueqq/AF-A4THC4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #27555 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27555
Accession (UniProt):
A4THC4
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis (strain Pestoides F)

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 A4THC4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4THC4|AROQ_YERPP 3-dehydroquinate dehydratase OS=Yersinia pestis (strain Pestoides F) OX=386656 GN=aroQ PE=3 SV=1 MSDKFHILLLNGPNLNLLGTREPEKYGYTTLAEIVSQLEIQAQGMDVALSHLQSNAEHALIDSIHQARGNTDFILINPAAFTHTSVALRDALLGVQIPFIEIHLSNVHAREPFRHHSYLSDIAVGVICGLGADGYNFALQAAVNRLSKSN