A4QYU7 AF NFT

Catabolic 3-dehydroquinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqptwpjxuvfpoguydw24mbhr4qi7uytn3ncanpejdzd75jwrlv4q/metadata.json
IPFS of structure file: 
bafybeifnhydwmfoxwzh647h4rllpkeymfnk56562iut2h37ufytc7x32i4/AF-A4QYU7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #562 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
562
Accession (UniProt):
A4QYU7
Name::
Catabolic 3-dehydroquinase
Experimental Method:
Predicted structure
Sequence source:
MAGNAPORTHE ORYZAE (STRAIN 70-15 / ATCC MYA-4617 / FGSC 8958)

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 A4QYU7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4QYU7|3DHQ_MAGO7 Catabolic 3-dehydroquinase OS=Magnaporthe oryzae (strain 70-15 / ATCC MYA-4617 / FGSC 8958) OX=242507 GN=qutE PE=3 SV=1 MPSQKPTILLLNGPNLNLLGTREPQIYGSTTLSDVQERCLALASSLDVELRHVQSNHEGALVDAIHALRRDLPLAGVVINPGAFTHTSVAIRDALLGVGAPFVELHVSNVHAREAFRHHSYLSDKAVAVICGMGVDGYAVAVEFMAKRLKAQAAAKL