Q92JJ2 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigl4lj6hx5lw5vcifjkpfdc6c35g24gdnte4ytuwwol7i5ae4fqwq/metadata.json
IPFS of structure file: 
bafybeifpbqzrefstsnmrl6fsbpvr5tmw7lt25omxbrazi2zcslexwat2ne/AF-Q92JJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #297310 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297310
Accession (UniProt):
Q92JJ2
Name::
CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 7)

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 Q92JJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JJ2|PGSA_RICCN CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=pgsA PE=3 SV=1 MRIDKNLPNYLTIARIMVIPVIILVFYINNSLARTLGALLFVLASITDFFDGYIARKYNLVTSFGKMFDPIADKLLVGCVIIMLLKKDNVDEIPCLLILAREFLVSGLREFLALVKVSVPVSRLAKVKTFLQMFALSILILGSKGSGIIYLDIVGEIILWIAAFLTIITGYSYFKACKKYF