P9WP29 Diacylglycerol kinase MolNFT, Molecular NFT on GenesisL1

Diacylglycerol kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihmwsln67bi4hs66v77sfm6zokifxti25hys2qmyeur26rxfypsli/metadata.json

IPFS of structure file:

bafybeibz322p46exn7gprl4x5hhacrbyqp2iitwy4k7tmxgvkdvnfvdhum/AF-P9WP29-F1-model_v2.pdb

First NFT owner address (eip-55):

0x07b09Fb95C38aA2328b8f3eC0D009b0e42053D04

First NFT owner address (bech32):

genesis1q7cflw2u8z4zx29c70kq6qympepq20gyw3sazl

Current NFT ID #87484 owner (web3):

0x17d7D5c62B731f42eBE008979dc6A3E4bdb514C5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
87484
Accession (UniProt):
P9WP29
Name::
Diacylglycerol kinase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WP29 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WP29|DAGK_MYCTU Diacylglycerol kinase OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=dagK PE=1 SV=1 MSAGQLRRHEIGKVTALTNPLSGHGAAVKAAHGAIARLKHRGVDVVEIVGGDAHDARHLLAAAVAKGTDAVMVTGGDGVVSNALQVLAGTDIPLGIIPAGTGNDHAREFGLPTKNPKAAADIVVDGWTETIDLGRIQDDNGIEKWFGTVAATGFDSLVNDRANRMRWPHGRMRYYIAMLAELSRLRPLPFRLVLDGTEEIVADLTLADFGNTRSYGGGLLICPNADHSDGLLDITMAQSDSRTKLLRLFPTIFKGAHVELDEVSTTRAKTVHVECPGINVYADGDFACPLPAEISAVPAALQVLRPRHG

P9WP29 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P9WP29 research and analysis (ICN3D with VR)

FASTA sequences

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