A4WCP9 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: 
bafybeiamxutye2ipsgbxvzpenonsluvez5uaxfvqup5ryhua4oleo6tqr4/metadata.json
IPFS of structure file: 
bafybeidxihenugg2jqliohixeofywvbsslii4ldwraeeunid27huabq32q/AF-A4WCP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC35EFAFBd6C1C86993de1c3D20c02e3f198163fB
First NFT owner address (bech32): 
genesis1cd00477kc8yxny77rs7jpspw8uvczclmtjxh7y
Current NFT ID #229673 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229673
Accession (UniProt):
A4WCP9
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
Enterobacter sp. (strain 638)

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 A4WCP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4WCP9|MEND_ENT38 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Enterobacter sp. (strain 638) OX=399742 GN=menD PE=3 SV=1 MSVSSFNRRWAAVILEALTRHGVRHVCIAPGSRSTPLTLAAAENRAFIHHTHFDERGLGHLALGLAKVSKAPVAVIVTSGTAVANLYPALIEAGLTGEKLVLLTADRPPELIDCGANQAIRQPGIFASHPAEALSLPRPTQDIPASWLVSTLDHAMGTLRHGALHINCPFAEPLYGELNDTGVEWQQTLGDWWQSDKPWLRAQTHLQSGQQRDWFHWRQKRGVILAGRMTAAEGKQVAEWAKTLGWPLIGDVLSQTGQPLPCADLWLGNAKAVTELARAQIVIQLGSSLTGKRVLQWQSTCEPEEYWLVDSLEGRLDPAHHRGRRLVSTIGDWLEDHPAEKRQAWATDIPELSRLAWDLTTQQCERFGEAELAHRIRQYLPDQGQLFVGNSLVVRLIDALSKLPAGYPVYSNRGASGIDGLISTAAGVQRASTKPTLAIVGDLSALYDLNALALLRQASAPFVLIVVNNNGGQIFSLLPTPQSERERFYLMPQNVQFEHAAAMFSLKYHRPQSWSELDDAMSTAWRQPGATLIELVVNDSDGAQKLQHLLAQVSHL