Q39017 AF NFT

Diacylglycerol kinase 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2fc2gxln3xv5onqpkxlvnanr5ursaodzvobaz3hwgtd47hn25gu/metadata.json
IPFS of structure file: 
bafybeihtulj22bi5gn7r7fgjsx2ad4yfoi72pxkgcjg4umbufcljfjqpxu/AF-Q39017-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF820Fa98497d3c645D013679d6Ea39FcbA8D8080
First NFT owner address (bech32): 
genesis1lqs04xzf057xghgpxeuad63eljagmqyqywmf7z
Current NFT ID #96808 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
96808
Accession (UniProt):
Q39017
Name::
Diacylglycerol kinase 1
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q39017 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39017|DGK1_ARATH Diacylglycerol kinase 1 OS=Arabidopsis thaliana OX=3702 GN=DGK1 PE=1 SV=2 MDDDGELGMFFPSWTSKNPIDTVESRGLMFSCFVAALVGILTIAYTAFQWRRNINLSWTKAIARSKKNPKARHKVPVAPHSWELDPIARAKNLNCCVCLKSMSPSQAIVASESFFHRCTICGAAAHFNCSSSAPKDCKCVSMVGFEHVVHQWAVRWTEGADQTDDSSFCSYCDESCSSSFLGGSPIWCCLWCQRLVHVDCHSNMSNETGDICDLGPLRRLILCPLYVKELTRNPSGGFLSSITHGANELASTALASIRIQSKKYKQTNETSADTGNSGSNCDESTESTADTGPTVNGAHAVLENSISVMNGDSSNGDSDSNGKLEKKPSVKRTGSFGQKEYHALRSKLKYELADLPSDARPLLVFINKKSGAQRGDSLRQRLHLHLNPVQVFELSSVQGPEVGLFLFRKVPHFRVLVCGGDGTAGWVLDAIEKQNFISPPAVAILPAGTGNDLSRVLNWGGGLGSVERQGGLSTVLQNIEHAAVTVLDRWKVSILNQQGKQLQPPKYMNNYIGVGCDAKVALEIHNLREENPERFYSQFMNKVLYAREGARSIMDRTFEDFPWQVRVEVDGVDIEVPEDAEGILVANIGSYMGGVDLWQNEDETYENFDPQSMHDKIVEVVSISGTWHLGKLQVGLSRARRLAQGSAVKIQLCAPLPVQIDGEPWNQQPCTLTISHHGQAFMLKRAAEEPLGHAAAIITDVLENAETNQVINASQKRTLLQEMALRLT