Q2N6U5 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiasckw666a2qwi2tmox3o2oepxpngm377fnieddi7tiwjkhwjgoce/metadata.json
IPFS of structure file: 
bafybeidz5yzw7p5lm4apj6d4tctszfic7uvegfz5zh54lues6h4cabuehi/AF-Q2N6U5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaE274d0a9F86E84f92863832Ea0fD62d5b8B9348
First NFT owner address (bech32): 
genesis14cn56z5lsm5yly5x8qew5r7k94dchy6gl8q6n0
Current NFT ID #108280 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108280
Accession (UniProt):
Q2N6U5
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
ERYTHROBACTER LITORALIS (STRAIN HTCC2594)

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 Q2N6U5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2N6U5|DXS_ERYLH 1-deoxy-D-xylulose-5-phosphate synthase OS=Erythrobacter litoralis (strain HTCC2594) OX=314225 GN=dxs PE=3 SV=1 MSARPDTPLLDTVSYPEDLRKLEPGQLRQLSDELRAEMISAVGVTGGHLGSGLGVVELTAAIHYVFNTPEDRLIWDVGHQCYPHKILTGRRDRIRTLRQGGGLSGFTKRSESEYDPFGAAHSSTSISAGLGFAVANKLKGEPGKAIAVIGDGAMSAGMAYEAMNNAEQAGNRLIVILNDNDMSIAPPVGGLSGYLARLMSSSEYLGLRSLASRMTAKVSRRVHTSLGKAEEYTKGLVTGGTLFEELGFYYVGPIDGHNLDHLIPVLENVRDAEEGPFLIHVRTVKGKGYAPAENSADKYHGVAKFDVVTGEQKKSTGGPPAYQNVFGETLAKLADSDPRICAITAAMPSGTGVDKFAKAHPDRAFDVGIAEQHGVTFAAGLAAQGMRPFAAIYSTFLQRAYDQVVHDVAIQNLPVRFAIDRAGLVGADGSTHAGSFDVTYLATLPNFVVMAAADEAELVHMTYTAAEHDSGPIAFRYPRGGGIGIDLPETPEKLEIGKGRIVKHGSKVALLSLGTRLEEAKRAADELEAKGLSTTIADMRFAKPLDTELIAQLMKNHEVVVTIEEASIGGLGAHVLTYASDEGLTDAGLKIRTMRLPDAFIEQDAPEKQYDEAGLTAPHIVDTVLKALRQNSAGVEEARA