P9WPG8 AF NFT

Probable CDP-diacylglycerol pyrophosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfgmyaj5lay3nrhhpo4ssd5t2j2kfb3jxustn7aw2ytx73q2jdzi/metadata.json
IPFS of structure file: 
bafybeidw6zxybssgkxhvu5jru3npvvjh3zsgctkvk6ohlsmvyef4sz6qdu/AF-P9WPG8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #56906 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
56906
Accession (UniProt):
P9WPG8
Name::
Probable CDP-diacylglycerol pyrophosphatase
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 P9WPG8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WPG8|CDH_MYCTO Probable CDP-diacylglycerol pyrophosphatase OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=cdh PE=3 SV=1 MPKSRRAVSLSVLIGAVIAALAGALIAVTVPARPNRPEADREALWKIVHDRCEFGYRRTGAYAPCTFVDEQSGTALYKADFDPYQFLLIPLARITGIEDPALRESAGRNYLYDAWAARFLVTARLNNSLPESDVVLTINPKNARTQDQLHIHISCSSPTTSAALRNVDTSEYVGWKQLPIDLGGRRFQGLAVDTKAFESRNLFRDIYLKVTADGKKMENASIAVANVAQDQFLLLLAEGTEDQPVAAETLQDHDCSITKS