Q7CQB9 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib6br3tfh6vb3efxmtumg3dblmoewmf3kfggz7pxzg6ftrwjhys7u/metadata.json
IPFS of structure file: 
bafybeifhyt27rta6espmfpmn3gohg2rjfu3qk3lkacthbwqry54eke6tky/AF-Q7CQB9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E72a6c28d20b2443a44F1c57457a027ddE4fa17
First NFT owner address (bech32): 
genesis1nee2ds5dyzeygwjy78zhg4aqylw7f7sh87h2qv
Current NFT ID #297317 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297317
Accession (UniProt):
Q7CQB9
Name::
CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHIMURIUM (STRAIN LT2 / SGSC1412 / ATCC 700720)

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 Q7CQB9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7CQB9|PGSA_SALTY CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase OS=Salmonella typhimurium (strain LT2 / SGSC1412 / ATCC 700720) OX=99287 GN=pgsA PE=3 SV=3 MQFNIPTLLTLFRVILIPFFVVVFYLPFAWAPMVSALIFCIAAITDWFDGFLARRWNQSTRFGAFLDPVADKVLVAIAMVLVTEHYHSWWVTLPAATMIAREIIISALREWMAELGKRSSVAVSWIGKVKTTAQMVALAWLLWRPNIWVEYAGIALFFVAAVLTLWSMLQYLSAARGDLLDQ