B4SYY1 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: 
bafybeighofdmqewun2kxa5ge24rr5ca5ur4l2uulnftehzatdikjvu5xvy/metadata.json
IPFS of structure file: 
bafybeiffxpejt6nqesryqavhr775rzxf74cn6ctd5iqy4ljv4y2jaczivi/AF-B4SYY1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x22F3a05dfAAbB6E31337CA9FAAe02B6DbF88e582
First NFT owner address (bech32): 
genesis1yte6qh064wmwxyehe2064cptdklc3evzawjnue
Current NFT ID #229779 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229779
Accession (UniProt):
B4SYY1
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
Salmonella newport (strain SL254)

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 B4SYY1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4SYY1|MEND_SALNS 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Salmonella newport (strain SL254) OX=423368 GN=menD PE=3 SV=1 MSVSAFNRRWAAVILEALTRHGVRHVCIAPGSRSTPLTLAAAENPAFIHHTHFDERGLGHLALGLAKVSQQPVAVIVTSGTAVANLYPALIEAGLTGEKLILLTADRPPELIDCGANQAIRQAGMFASHPSQTLSLPRPTQDIPARWLVSTIDNALAMLHAGALHINCPFAEPLYGDMNDTGLVWQQRLGDWWQDEKPWLREARRLESDKQRDWFFWRQKRGVVVAGRMSAEEGKKVAQWAQTLGWPLIGDVLSQTGQPLPCADLWLGNAKAVTELQQAQIVVQLGSSLTGKRLLQWQATCEPEEYWVIDNIEGRLDPAHHRGRRLVAKIADWLELHPAEKRKPWCVEIPRLAELAWQRVVAQRDTFGEAQLAHRIRDYLPEQGQLFVGNSLVVRLIDALSQLPAGYPVYSNRGASGIDGLLSTAAGVQRASAKSTLAIVGDLSALYDLNALALLRQVSAPFVLIVVNNNGGQIFSLLPTPQSKRERFYLMPQNVHFDHAAAMFNLRYHRPENWEELESALAGAWRTPATTVIELVVNDTDGAQTLQQLLAQVSHL