Q66DV4 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihoeqezkb4gyfiq3vnsv7pbps2s3b5w2azs5g3imzijswvmh6uwoa/metadata.json
IPFS of structure file: 
bafybeiamtigbluichxasljmtdroha332234je2qx4mm3iqmvqtql7jjaeu/AF-Q66DV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #108581 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108581
Accession (UniProt):
Q66DV4
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66DV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66DV4|DXS_YERPS 1-deoxy-D-xylulose-5-phosphate synthase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=dxs PE=3 SV=1 MSLDIAKYPTLALAENPEELRMLPKESLPKLCDELRQYLLTCVSRSSGHFASGLGVVELTVALHYVYNTPFDHLIWDVGHQAYPHKILTGRRDRISTIRQKDGLHPFPWRGESEYDVLSVGHSSTSISAGLGMAVAAEREGKGRRTVCVIGDGAITAGMAFEAMSHAGDIHSDMLVILNDNEMSISENVGGLNNHLAQLLSGKLYASLREGGKKAFSALPPIKDLLKRTEEHLKGMVVPSTLFEELGFNYIGPVDGHDVHTLTQTLKNMRDLKGPQLLHIMTKKGKGYAPAEKDPIGWHAVPKFDPASGTLPKSQSSLPTYSKIFGEWLCETAAKDSKLMAVTPAMREGSGMVRFSREYPQQYFDVAIAEQHAVTFAAGLAIGGYKPVVAIYSTFLQRAYDQLIHDVAIQNLPVLFAIDRGGLVGADGQTHQGAFDLSFMRCIPNMVIMAPSDENECRQMLYTGYHHNGPAAVRYPRGNGTGAVLEPLEMLPIGKGVLRREGEKIAILCFGTLLAQAQLAAENLNATLVDMRFVKPLDEELVLEMAAKHQVLVTVEENAIMGGAGSGVNELLMAKRRWVPVLNIGLPDLFVPQGEQDEMRSELGLDAAGIQRQIEAWLA