Q0SF82 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: 
bafybeifiyz4rjpnhiyqciapigianloamrsqehnvc7lcxl5z5ynyar4gkjq/metadata.json
IPFS of structure file: 
bafybeicbtz6zan3uebeomwsvclgwwlfkhw5yfpj7xmicwx67pczeiq4kqy/AF-Q0SF82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x43F732ebc9C0228C7C6DD25324855fCd3e729A87
First NFT owner address (bech32): 
genesis1g0mn967fcq3gclrd6ffjfp2le5l89x58p9e3s3
Current NFT ID #229765 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229765
Accession (UniProt):
Q0SF82
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
RHODOCOCCUS JOSTII (STRAIN RHA1)

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 Q0SF82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SF82|MEND_RHOJR 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Rhodococcus jostii (strain RHA1) OX=101510 GN=menD PE=3 SV=1 MNPSTAQATAVVDELVRGGVREVVLCPGSRNAPLAFALQAADLEGRLRLHMRIDERTAGFLALGLAVAGKRPVPIVMTSGTAVANLGPAVLEANYARVPLVVLSANRPYEMLGTGANQTIEQLGLFGSQVRATISLGLAEDDAGQNSQWRSAVCRVLAAARGTRSGNAGPVHFDIPLREPLVPDVHAQGPVPQGRPGGAAWTTTQHATLDVPMDLDLTPDTIVISGHGSALRPELAGLPTVAEPTAPLHGIPVHPMALPQLKPRQAVITGRPTLHRSVSKVLADPSVAVYALTTGPRWPDVSGNVLATGTRAVVSGEPDRAWINRCRTLSEHTDKAVRAQLAAHPKATGLHVAAAVMDALTDGDQLLLGASNPVRDAALVSYPAPKIRVLSNRGVAGIDGTVSAAVGAALAYEEGRTVALLGDLTFLHDASGLLIGSGEPRPRDLTIVVANDDGGGIFELLEQGDPQYAGVFERVFGTPHGMDLAALCAAYRVEHHLVGLGELSTRLSAPEAPGDRGIRVLEVTTERSGLRELHAAVRAQL