A2RM73 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: 
bafybeidnpbxijvoviipqazlxz3ibyqhi5mqsrrvhjppblbzqa2may7yecu/metadata.json
IPFS of structure file: 
bafybeicmykxcr4cfe6vz6qcg3ehq3a2anlrkb53et2l6ulmzlkamxs6diq/AF-A2RM73-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1740d814B84975811C96baED2801952BAEf63bb
First NFT owner address (bech32): 
genesis1596qmq2tsjt4sywfdwhd9qqe22aw7cam7j4jdy
Current NFT ID #229699 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229699
Accession (UniProt):
A2RM73
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
LACTOCOCCUS LACTIS SUBSP. CREMORIS (STRAIN MG1363)

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 A2RM73 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2RM73|MEND_LACLM 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Lactococcus lactis subsp. cremoris (strain MG1363) OX=416870 GN=menD PE=3 SV=1 MTNEYLAPFVDELFNLGVREAVFSPGSRSTALAMLFEEYKKYDTYVNIDERSAAFFALGIAKANRRPVVLVCTSGSAAAHHFPAITEAKTSRIPLIILTADRPAELQFVGAPQTLDQTRFFGNFVNHFENLEAPQPQAKNFWTYPRKVAQRAFLSALDQMAGPVQINIPLRDPLVPELKSENYEKGRSKLPFKFFKGQQSASFDEALLSSKTLILAGANSSENYSESLLKLAEHLKAPILADPLSNLRNHNSPFVMDSYDAFLANDDLKTDLKAESILLFGQMPVSKRLQQFIALNDDAEFIQVDPALAYRNPSLTTTITVQSNVATFANSIQKVNQDFSYLEKWQKAQEKMRHQLEKVAQEENPFEGRFVQELQKHLKALDAQLLVSNSMEIRDIDYWWKKEDSKVRILGNRGVNGIDGTESTALGIATTGKPTVLLTGDLSMLHDLNGLIIGKTHELNLTIVLFNNDGGGIFHHLAQKGVPNFDYLFSTPHGLNFEGLAELTGLDYHLVSNYADFGQQFETSIRQPGIHLLEIKTDKDLSLALHKKYTAYEN