Q9HLV3 AF NFT

2-dehydro-3-deoxygluconokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3ahk5g6f55ghhwtfdy35hxc55j6ntnhscfv5wcatc7qmidgx74i/metadata.json
IPFS of structure file: 
bafybeic37dyi5exgadzixw47gymsuhl3z6jwzsqdna6jxxm3mcejr3ugci/AF-Q9HLV3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x13Ce7B1602F31C98a611319cB5cA24DCD906Ba7F
First NFT owner address (bech32): 
genesis1z088k9sz7vwf3fs3xxwttj3ymnvsdwnlxsk42v
Current NFT ID #200311 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
200311
Accession (UniProt):
Q9HLV3
Name::
2-dehydro-3-deoxygluconokinase
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HLV3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HLV3|KDGK_THEAC 2-dehydro-3-deoxygluconokinase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=kdgK PE=1 SV=1 MEEEMMILGVDGGSTKTLAIVFDERSERIMGVGISGPSNFTNAPRETAESNISDAVRKACSEAGTDLDGIGIRVFGLAGIGDSREATELGKDIVRSIVGHADVYSDGLGAYKFANLNDDGVVFAPGTGSVGFIKNGSDPERFGGWGWFIGDEASASWMAKQAILFAEREHDGIAETGFLDVVRRYFGMDLYETVYAISKEKIAKRVVAALAPQVSAMARSGNRYAISIFEESSSYIADLLNAKSRIFGRSGKYSVLGGTMLAGDFYRDMIRKKSSVDVSIYYGYQVAIGDVLIGIEKKGSISVDLRNKMIDQLNSILENKKEDIKKFLFLDSVPTS