P9WP28 AF NFT

Diacylglycerol kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicju5hjbr4udwup2i2hoydujr2pc5epk3lxc3z22so7onqx7kbjby/metadata.json
IPFS of structure file: 
bafybeig4phirq6naswu6gkzfavljsiobmj5s4wcqdwdg3g55aw4e7xwq6u/AF-P9WP28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2BD31D182b40C2d137224A8F4c45fA94D8858983
First NFT owner address (bech32): 
genesis190f36xptgrpdzdezf285c306jnvgtzvrzezv8x
Current NFT ID #87483 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
87483
Accession (UniProt):
P9WP28
Name::
Diacylglycerol kinase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WP28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WP28|DAGK_MYCTO Diacylglycerol kinase OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=dagK PE=1 SV=1 MSAGQLRRHEIGKVTALTNPLSGHGAAVKAAHGAIARLKHRGVDVVEIVGGDAHDARHLLAAAVAKGTDAVMVTGGDGVVSNALQVLAGTDIPLGIIPAGTGNDHAREFGLPTKNPKAAADIVVDGWTETIDLGRIQDDNGIEKWFGTVAATGFDSLVNDRANRMRWPHGRMRYYIAMLAELSRLRPLPFRLVLDGTEEIVADLTLADFGNTRSYGGGLLICPNADHSDGLLDITMAQSDSRTKLLRLFPTIFKGAHVELDEVSTTRAKTVHVECPGINVYADGDFACPLPAEISAVPAALQVLRPRHG