P9WKG7 AF NFT

4-diphosphocytidyl-2-C-methyl-D-erythritol kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeien3wojsosmgwlu4sxyvgvowqxypfhifntrkezylnuyds6g7buoua/metadata.json
IPFS of structure file: 
bafybeiamwu4ljg4lygvr7syr5rtnigki34khwyo2ze6xve4hgmvluzbaru/AF-P9WKG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #193607 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
193607
Accession (UniProt):
P9WKG7
Name::
4-diphosphocytidyl-2-C-methyl-D-erythritol 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 P9WKG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKG7|ISPE_MYCTU 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=ispE PE=1 SV=2 MSASDGNTAELWVPTGSVTVRVPGKVNLYLAVGDRREDGYHELTTVFHAVSLVDEVTVRNADVLSLELVGEGADQLPTDERNLAWQAAELMAEHVGRAPDVSIMIDKSIPVAGGMAGGSADAAAVLVAMNSLWELNVPRRDLRMLAARLGSDVPFALHGGTALGTGRGEELATVLSRNTFHWVLAFADSGLLTSAVYNELDRLREVGDPPRLGEPGPVLAALAAGDPDQLAPLLGNEMQAAAVSLDPALARALRAGVEAGALAGIVSGSGPTCAFLCTSASSAIDVGAQLSGAGVCRTVRVATGPVPGARVVSAPTEV