Q1CDU2 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidi4qtbr2wj5oazzoo4gxo2mk34p6j4qb7zvrc44gcevlizigccfm/metadata.json
IPFS of structure file: 
bafybeifb5hkm6msjq6dhog5hrwhfkqznnedxvwclpq36aroffqap5yzfge/AF-Q1CDU2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x23FaC215931a13Fd91a20E6247CDBf3A4476C85f
First NFT owner address (bech32): 
genesis1y0avy9vnrgflmydzpe3y0ndl8fz8djzlk990se
Current NFT ID #27554 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27554
Accession (UniProt):
Q1CDU2
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CDU2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CDU2|AROQ_YERPN 3-dehydroquinate dehydratase OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=aroQ PE=3 SV=1 MSDKFHILLLNGPNLNLLGTREPEKYGYTTLAEIVSQLEIQAQGMDVALSHLQSNAEHALIDSIHQARGNTDFILINPAAFTHTSVALRDALLGVQIPFIEIHLSNVHAREPFRHHSYLSDIAVGVICGLGADGYNFALQAAVNRLSKSN