Q5SMD7 AF NFT

1-deoxy-D-xylulose-5-phosphate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid4f77j4j73teltklqx7r3xmafb6fmqqv3lwty2whcq2flpqptdde/metadata.json
IPFS of structure file: 
bafybeiag5572oqwl6yl6e364sen5m4fnqzmmwzgqrd6f4a34p5srll4fb4/AF-Q5SMD7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #108539 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108539
Accession (UniProt):
Q5SMD7
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
Thermus thermophilus (strain ATCC 27634 / DSM 579 / HB8)

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 Q5SMD7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5SMD7|DXS_THET8 1-deoxy-D-xylulose-5-phosphate synthase OS=Thermus thermophilus (strain ATCC 27634 / DSM 579 / HB8) OX=300852 GN=dxs PE=3 SV=1 MILDKVNSPEDLKRLSLEELLLLAEEIRSEIIRVTAQNGGHLASSLGAVELVLALHRVFDSPRDRILFDVGHQAYAHKLVTGRKDRFHTLRKEGGISGFTKVSESPHDAITAGHASTSLANALGMVLARDLMGEDYHVVAVIGDGALTGGMALAALNKIGELQKRMLIVLNDNEMSISENVGALNKYFKELQIRKWVQDAEKLGKNILERISPQLFGLVDRAKEAAKFLLHQENPFYAWGIRYVGPVDGHDLKGLVHILEHLKALDGPTLLHVVTKKGKGYKVAEADPIYWHGPPGFDPKKPEKVSKGYTWSQAFGDAVTELAHMEPRLFVLTPAMREGSGLVRYSLEHPERYLDVGICEDVAVTTAAGLALRGMKPIVAIYSTFLQRAYDQVIHDVAIENLPVVFAIDRAGIVGADGATHHGVFDIAYLRTVPNLQIAAPKDALELRAMLKKALEVGGPVAIRYPRDNVERAPEGVWPEIAWGKWEVLKEGTEAYILAFGKTLRYALEAAGDDPRVGVVNARFLKPLDREMLRELSRYKLLTVEDHQKMGGFGSAVLEALNEMGLKPEVQILGLPDRFFEHGAIPSLHRQAGIDAEGIRKALAAMGVALVHERA