Q47DK0 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: 
bafybeibyenm4anjms7mn4nilbdvlqsp7y6i6mtbjxuupsqfwft6rhi23ku/metadata.json
IPFS of structure file: 
bafybeidgbdks4zuf2zwvsiiuhcvievbf26o4e2owtfyvdc4sjjvnufxrci/AF-Q47DK0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ba07F9F8CE065c29bd2F57629F17c3ec86445Ae
First NFT owner address (bech32): 
genesis1dws8l8uvupju9x7j74mznutu8myxg3dw2uskg6
Current NFT ID #229647 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229647
Accession (UniProt):
Q47DK0
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
Dechloromonas aromatica (strain RCB)

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 Q47DK0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q47DK0|MEND_DECAR 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Dechloromonas aromatica (strain RCB) OX=159087 GN=menD PE=3 SV=1 MTDIGTLNFTWSQAIIGGFVAAGITDAVISPGSRSTPLALAMLRQAGLRCHIAIDERSAAFFGLGLAKSSHCPVLLLATSGTAPANWLPAVIEASQSGIPLILISADRPPELQDCGANQTVSQPGLFGSHTRASYTLGTPEPGFNPGYLHRVARQACEQASWPHPGPVHINQPFREPMLPSEPVLSGEMPEKISISHPDLQPDLNALGDLARRISGRPGIIVCGEMPSRDGQNEALVALATRLRSPIFAEPLSGLRFGPHDRSHLCVRYNDWLGKTDLVSQYRPEWVIRFGAYPVTRNLQKLVSEITETHALVDPWPRWIDPARRLTHLLRSEPAAICKALLDLSLVPFSETWLSALAKFEGNAEADEQRNHIHVLLEEVPDDTDLFVGNSLAIRQMDTHSGSADKTLRIYANRGASGIDGNISTAAGIAASRGRAVALIGDLTCQHDLGGLALAQGQNIVIIVVNNGGGGIFDHLPQRDLPEFTQGWRTPQNVNFEHAAMAFGLGYAATHSDDDLRPALRHAFAAGGPHLIELRQC