Q9A8L7 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase MolNFT, Molecular NFT on GenesisL1

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibgbjxt4d3cvhua2bjyaouari3s3sung2gsd4g5h5kny5yhuqvv5q/metadata.json

IPFS of structure file:

bafybeic44tqhzmpqrzayv7kthbrtild7t36bkxencgdflg2dfkouucin3m/AF-Q9A8L7-F1-model_v2.pdb

First NFT owner address (eip-55):

0x734B0A412b00947f49302B3B9D1B37eE38d37FB5

First NFT owner address (bech32):

genesis1wd9s5sftqz287jfs9vae6xehacudxla4xmcwfu

Current NFT ID #193401 owner (web3):

0x54590baa4EF962F5689C721755B565462503730d

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
193401
Accession (UniProt):
Q9A8L7
Name::
4-diphosphocytidyl-2-C-methyl-D-erythritol kinase
Experimental Method:
Predicted structure
Sequence source:
CAULOBACTER VIBRIOIDES (STRAIN ATCC 19089 / CB15)

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 Q9A8L7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9A8L7|ISPE_CAUVC 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase OS=Caulobacter vibrioides (strain ATCC 19089 / CB15) OX=190650 GN=ispE PE=3 SV=1 MSHEIMRLSAFAPAKVNLFLHVGGPDGEGYHPISSLMVFADVGDRVNLQPADAPAFETSGPFGDQIPAGGDNLVVRAGQAFHRRLGGPVPPYRLILEKHLPIAAGLGGGSSDAGAALKLLRDALAPALSDDDLEALAASLGADGAACLRARALIAEGRGERLSPAPRLPELNAVLVNPGAPSPTGAVYRAYDAGVHPDGAAMPPMPDHLESAEEAAAWLAFATRNDLEAPAVRLEPHIGEVLDVLRGEPESLLVRMSGSGATCFALCASDIEAEGLAERLETMRPDWWVRRCRLS

Q9A8L7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9A8L7 research and analysis (ICN3D with VR)

FASTA sequences

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