Q59Z17 AF NFT

Catabolic 3-dehydroquinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmwimtnx3knqrevmuqyloyrsc7afaekgp7qcjvzkzplnuirhqpm4/metadata.json
IPFS of structure file: 
bafybeibeibce6hdwbbedily47vvvm4kzqqikq3z3bzrbj77zbyxqju2uce/AF-Q59Z17-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01970A7586aE074a277adA45533563056BA700c1
First NFT owner address (bech32): 
genesis1qxts5avx4cr55fm6mfz4xdtrq446wqxp7tt32p
Current NFT ID #556 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
556
Accession (UniProt):
Q59Z17
Name::
Catabolic 3-dehydroquinase
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q59Z17 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59Z17|3DHQ_CANAL Catabolic 3-dehydroquinase OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=DQD1 PE=1 SV=3 MVKKVLLINGPNLNLLGTREPEKYGTTSLSDIEQAAIEQAKLKNNDSEVLVFQSNTEGFIIDRIHEAKRQGVGFVVINAGAYTHTSVGIRDALLGTAIPFIEVHITNVHQREPFRHQSYLSDKAVAVICGLGVYGYTAAIEYALNY