C5M799 AF NFT

Catabolic 3-dehydroquinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihrufq5rhe22dkjnkgv3bthbt6mc6x5l6xyylipz7gkpyl5ok5qtu/metadata.json
IPFS of structure file: 
bafybeie5z2jnrnmt6vdvnywftla2abofesxi5uhb7mx4jekyi4zzwosi4a/AF-C5M799-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C
First NFT owner address (bech32): 
genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u
Current NFT ID #558 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
558
Accession (UniProt):
C5M799
Name::
Catabolic 3-dehydroquinase
Experimental Method:
Predicted structure
Sequence source:
Candida tropicalis (strain ATCC MYA-3404 / T1)

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 C5M799 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5M799|3DHQ_CANTT Catabolic 3-dehydroquinase OS=Candida tropicalis (strain ATCC MYA-3404 / T1) OX=294747 GN=DQD1 PE=3 SV=1 MVKKVLLINGPNLNLLGTREPEKYGTTSLSDIEKAAIEQAQLKKNDSEVLTYQNNTEGFIIDRIHEARRQGVGFIVINAGAYTHTSVGIRDALLGTAIPFIEVHITNVHQREPFRHQSYLSDKAVAVICGLGVYGYTAAIEYALNY