Q4PIL0 AF NFT

Catabolic 3-dehydroquinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiak4dch2v2vglab4wrcaiibqh5prxi3l2anitbpp3ruxjrhbr3roe/metadata.json
IPFS of structure file: 
bafybeiasvlv6d5od2ofirntv3xnv755a46xksnk2tomfkox6ghj4hgnd7a/AF-Q4PIL0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd964389A34EE7ef2B1C720eCDf40fEcEc0b8b088
First NFT owner address (bech32): 
genesis1m9jr3x35ael09vw8yrkd7s87emqt3vygjvupdf
Current NFT ID #575 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
575
Accession (UniProt):
Q4PIL0
Name::
Catabolic 3-dehydroquinase
Experimental Method:
Predicted structure
Sequence source:
USTILAGO MAYDIS (STRAIN 521 / FGSC 9021)

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 Q4PIL0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4PIL0|3DHQ_USTMA Catabolic 3-dehydroquinase OS=Ustilago maydis (strain 521 / FGSC 9021) OX=237631 GN=UMAG_00053 PE=3 SV=1 MTTNAAPTKRSILLINGPNLNLLGTREPEKYGSETLSDIEENARRQCNELGFDFEGFQSNHEGVIVDRIHAARTDGTTAIIINAGAYTHTSVAIRDALTGVRVPFIEVHISNIHAREPFRHHSYLSDVAQGVIVGLGTLGYTAAIWSVVEKLKQGGFS