Q9ZE96 AF NFT

CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicfn67zqopvvwa7ghmrdfpuvcsy6zggrl6f7oayfqhjzknn5ckurm/metadata.json
IPFS of structure file: 
bafybeifwdjwzl5kflxsw664nho7gt6kn2ykntwxtdrbpcq5t36bkt3zhse/AF-Q9ZE96-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #297312 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297312
Accession (UniProt):
Q9ZE96
Name::
CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA PROWAZEKII (STRAIN MADRID E)

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 Q9ZE96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZE96|PGSA_RICPR CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase OS=Rickettsia prowazekii (strain Madrid E) OX=272947 GN=pgsA PE=3 SV=1 MRIDKNLPNYLTIARIMVIPVIILLFYINNSLARKLGALLFVLASITDFFDGYIARKYNLVTSFGKMFDPIADKLLVGCVTIMLLKKDNVDEIPCLLILAREFLVSGLREFLALVKVSVPVSRLAKLKTFLQMFALSILILGSKGSGIIYLDIVGEIILWIAAFLTIITGYSYFKACKTYF