Q57M47 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: 
bafybeigxhe3wy467fycgxrtgr42tx6n6rubbpvvwtpw3ot7yj6e2htask4/metadata.json
IPFS of structure file: 
bafybeiaq7m3fde6rnvtzmddvvvskxon7hgn56kosdipfcblqukqkgh5tau/AF-Q57M47-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC9F16D6B50D34396A80f1DDB90a4cb8b6C3C595c
First NFT owner address (bech32): 
genesis1e8ck666s6dped2q0rhdepfxt3dkrck2uftd7ht
Current NFT ID #229774 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229774
Accession (UniProt):
Q57M47
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
Salmonella choleraesuis (strain SC-B67)

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 Q57M47 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57M47|MEND_SALCH 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Salmonella choleraesuis (strain SC-B67) OX=321314 GN=menD PE=3 SV=1 MSVSAFNRRWAAVILEALTRHGVRHVCIAPGSRSTPLTLAAAENPAFIHHTHFDERGLGHLALGLAKVSQQPVAVIVTSGTAVANLYPALIEAGLTGEKLILLTADRPPELIDCGANQAIRQAGMFASHPSQTLSLPRPTQDIPARWLVSTIDNALAMLHAGALHINCPFAEPLYGDMNDTGLVWQQRLGDWWQDEKPWLREARRLESDKQRDWFFWRQKRGVVVAGRMSAEEGKKVAQWAQTLGWPLIGDVLSQTGQPLPCADLWLGNAKAVTELQQAQIVVQLGSSLTGKRLLQWQATCEPEEYWVIDNIEGRLDPAHHRGRRLVAKIADWLELHPAEKRKPWCVEIPRLAELAWQRVVAQRDTFGEAQLAHRIRDYLPEQGQLFVGNSLVVRLIDALSQLPAGYPVYSNRGASGIDGLLSTAAGVQRASAKSTLAIVGDLSALYDLNALALLRQVSAPFVLIVVNNNGGQIFSLLPTPQSKRERFYLMPQNVHFDHAAAMFNLRYHRPENWEELESALAGAWRTPAATVIELVVNDTDGAQTLQQLLAQVSHL