Q3YZU2 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: 
bafybeie2m6xn32aswvtf4xhqlp2d3m4llqngl6hg6kl5bt65xvr6szkczm/metadata.json
IPFS of structure file: 
bafybeifzvgsyc5jjknetw2iyzvospj6juwftippy7isr6chrt75kez7n2m/AF-Q3YZU2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD72C8A7a34959EAE71a054e64594b858fF6b30bC
First NFT owner address (bech32): 
genesis16ukg5735jk02uudq2nnyt99ctrlkkv9ustpzzl
Current NFT ID #229810 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229810
Accession (UniProt):
Q3YZU2
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
Shigella sonnei (strain Ss046)

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 Q3YZU2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3YZU2|MEND_SHISS 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Shigella sonnei (strain Ss046) OX=300269 GN=menD PE=3 SV=1 MSVSAFNRRWAAVILEALTRHGVRHICIAPGSRSTPLTLAAAENSAFIHHTHFDERGLGHLALGLAKVSKQPVAVIVTSGTAVANLYPALIEAGLTGEKLILLTADRPPELIDCGANQAIRQPGMFASHPTHSISLPRPTQDIPARWLVSTIDHALGTLHSGGVHINCPFAEPLYGEMDDTGLSWQQRLGDWWQDDKPWLREAPRLESEKQRDWFFWRQKRGVVVAGRMSAEEGKKVALWAQTLGWPLIGDVLSQTGQPLPCADLWLGNAKATSELQQAQIVVQLGSSLTGKRLLQWQASCEPEEYWIVDDIEGRLDPAHHRGRRLIANIADWLELHPAEKRQPWCVEIPRLAEQAMQAVIARRDAFGEAQLAHRISDYLPEQGQLFVGNSLVVRLIDALSQLPAGYPVYSNRGASGIDGLLSTAAGVQRASGKPTLAIVGDLSALYDLNALALLRQVSAPLILIVVNNNGGQIFSLLPTPKSERERFYLMPQNVHFEHAAAMFELKYHRPQNWQELETALADAWRTPTTTVIEMVVNDTDGAQTLQQLLAQVSHL