B2K6T7 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifg6snh2754ndiqzvahppror4e3n4x24nnt54mfij6swtkz37tyye/metadata.json
IPFS of structure file: 
bafybeihsexrsvzg5snjmquwmnm3xeginsoy27zcnugwaii5s26bmhsl6ae/AF-B2K6T7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79C8eac7b0A7F48c5Dc63A746EA9A516335a21cf
First NFT owner address (bech32): 
genesis108yw43as5l6gchwx8f6xa2d9zce45gw0u50n4s
Current NFT ID #108576 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108576
Accession (UniProt):
B2K6T7
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype IB (strain PB1/+)

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 B2K6T7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2K6T7|DXS_YERPB 1-deoxy-D-xylulose-5-phosphate synthase OS=Yersinia pseudotuberculosis serotype IB (strain PB1/+) OX=502801 GN=dxs PE=3 SV=1 MSLDIAKYPTLALAENPEELRMLPKESLPKLCDELRQYLLTCVSRSSGHFASGLGVVELTVALHYVYNTPFDHLIWDVGHQAYPHKILTGRRDRISTIRQKDGLHPFPWRGESEYDVLSVGHSSTSISAGLGMAVAAEREGKGRRTVCVIGDGAITAGMAFEAMSHAGDIHSDMLVILNDNEMSISENVGGLNNHLAQLLSGKLYASLREGGKKAFSALPPIKDLLKRTEEHLKGMVVPSTLFEELGFNYIGPVDGHDVHTLTQTLKNMRDLKGPQLLHIMTKKGKGYAPAEKDPIGWHAVPKFDPASGTLPKSQSSLPTYSKIFGEWLCETAAKDSKLMAVTPAMREGSGMVRFSREYPQQYFDVAIAEQHAVTFAAGLAIGGYKPVVAIYSTFLQRAYDQLIHDVAIQNLPVLFAIDRGGLVGADGQTHQGAFDLSFMRCIPNMVIMAPSDENECRQMLYTGYHHNGPAAVRYPRGNGTGAVLEPLEMLPIGKGVLRREGEKIAILCFGTLLAQAQLAAENLNATLVDMRFVKPLDEELVLEMAAKHQVLVTVEENAIMGGAGSGVNELLMAKRRWVPVLNIGLPDLFVPQGEQDEMRSELGLDAAGIQRQIEAWLA