Q0U9X3 AF NFT

Catabolic 3-dehydroquinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigz32g3y6bsyzel7w2sve4jti47ogmxjosm6vooosp7makybx3yqm/metadata.json
IPFS of structure file: 
bafybeihcxupi2l7lmljlnzdfxrnttziisjly3mhvhxilgtqxs23ge5pkry/AF-Q0U9X3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3f713B4B1650176e30B519F2A58Bd9E365E97fD0
First NFT owner address (bech32): 
genesis18acnkjck2qtkuv94r8e2tz7eudj7jl7st790dq
Current NFT ID #566 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
566
Accession (UniProt):
Q0U9X3
Name::
Catabolic 3-dehydroquinase
Experimental Method:
Predicted structure
Sequence source:
PHAEOSPHAERIA NODORUM (STRAIN SN15 / ATCC MYA-4574 / FGSC 10173)

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 Q0U9X3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0U9X3|3DHQ_PHANO Catabolic 3-dehydroquinase OS=Phaeosphaeria nodorum (strain SN15 / ATCC MYA-4574 / FGSC 10173) OX=321614 GN=qutE PE=3 SV=1 MAKSILLINGPNLNLLGTREPSIYGSTTLPQVVESASSQCSRLSITFSHIQSNHEGVLIDRIHEARGNVDAIVINPGALTHTSVGLRDALVGVDIPFVEVHISNIHKREAFRHHSYLSDKAEAVICGLGTYGYEAAIEYAARHIKPKGEAQL