Q9PB95 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaw4c6keicdrygjdq56bu5fd37kbcjlmewwmlfvjunfbe5txeempm/metadata.json
IPFS of structure file: 
bafybeiam22wrcxfsk36mizjk3nhj2fcweowsxuybubcwzk7ovfh72yod3a/AF-Q9PB95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #108570 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108570
Accession (UniProt):
Q9PB95
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PB95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PB95|DXS_XYLFA 1-deoxy-D-xylulose-5-phosphate synthase OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=dxs PE=3 SV=2 MIDSTCYPRLSRIQIPEDLRTFQESELRAVADELRNYLIESVGLSGGHFAAGLGVVELTIALHYLYCTPIDHLVWDVGHQTYPHKILTGRRDKISTVKHQGGLAPFPKREESIYDTFGVGHSSTSISAALGMAIVAQRHGDERKVVAIIGDGAMTAGMAYEALNHAGGMSPAPNLLVILNDNRMSISEAVGGLTKMLGRATGSKALNAIREGGKRIFGDKKTNATARFLRRWEEHWKGMFVPSTLFEEMGFHYTGPIDGHDLPALLGALKTLRTLKGPQLLHVITTKGKGYELAEGDQIGYHAVAPFDPQKGLIKAGAKKQTYTDVFSEWLCDMAAVEPRLLAITPAMREGSGLVRFSQEYPQRYFDVAIAEQHAITLAAGMATQGAKPVVAIYSTFLQRGYDQLVHDVALQKLDVLFAVDRGGVVGPDGATHAGNLDLSFLRCVPNMMLMAPADEAECRKMLSTGFHYSGPVAVRYPRGTGPGVVPSAELDVLPVGVAQLRHSGTRIALLGFGVCVAPAEQVGRRLGLTVVNMRFIKPLDRTLLLELARTHEGFVTIEDNVVAGGAGSGVAELLNAEGIVLPIVHLGLPDAFQQHASREDLLAEAGIDAAGVYAALLSRWPDLAVQNHPLSAVS