Q3AKK3 AF NFT

2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiglcvnavdliz5jnnjbbjkz2updxx4msuggileoxngcihmh5qngyea/metadata.json
IPFS of structure file: 
bafybeialct27kljqfi4ptaekpflofwe4ytslh662haocbfbvcvddh2vtf4/AF-Q3AKK3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80DFF74473FD79110bd730F367842ad5E57E8738
First NFT owner address (bech32): 
genesis1sr0lw3rnl4u3zz7hxrek0pp26hjhapecauejq8
Current NFT ID #229839 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229839
Accession (UniProt):
Q3AKK3
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
SYNECHOCOCCUS SP. (STRAIN CC9605)

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 Q3AKK3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3AKK3|MEND_SYNSC 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Synechococcus sp. (strain CC9605) OX=110662 GN=menD PE=3 SV=1 MQAALTLLEALCLQGLKQLVLCPGSRSGPLATAAGVLASQAKLQLVTAIDERSAAFLALGMATAHGRVVAVVTTSGTAVSNLLPAAVEADRSCQPLLLLTADRPVRLKNCGANQTVNQESFLLAACRWFGSGAADGIHTQANDALNALAVKAWQQAQGAGTGPPGAVHLNLPFEEPLHTTLEQQQQLASAALPPTACPEPSPGIGPALRLDPERPGVVVAGPWRGLTLSLEAHQQALHRWLNLSGWPLLADPLAALPPDCPNRIEHWELQLDRLSLPDDAQVLRLGPMPASRRLEAWLQRHQGPQLLITEGDPRPLDPLHTANQWSGGMAAWIAQQPGLKQATKPSVGTNDLSPWLETQLPLRGAVTEPALAYWLPQLLPEQLPVMLAASSPVRDWLTWGGYSCGRHRCFSFRGASGIDGTLSLAMGLAANLGPLALVTGDLALLHDSNGWLHASSAAAPPPLLVLLIDNGGGGIFQQLPIATPGFESLFAMPQQVDSLALAAAHGVPGRQVACLEDLQEALAWGLSQQRPVLLRLCSDRGRDAVLRQQLRAAAQNEGTEL