B0TQ36 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifymkoe4gp3dqieeoilqktnivsge7m6ip3zopwejdolco6uy5j7fe/metadata.json
IPFS of structure file: 
bafybeieoxfnhixe5akfluquax3qs3lh2svcfpc32oka4wtsypidsmhyopu/AF-B0TQ36-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC8dF636DBC08E21eD2d86C34d2418bD10A06e71a
First NFT owner address (bech32): 
genesis1er0kxmdupr3pa5kcds6dysvt6y9qdec6g02lnm
Current NFT ID #108495 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108495
Accession (UniProt):
B0TQ36
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
Shewanella halifaxensis (strain HAW-EB4)

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 B0TQ36 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0TQ36|DXS_SHEHH 1-deoxy-D-xylulose-5-phosphate synthase OS=Shewanella halifaxensis (strain HAW-EB4) OX=458817 GN=dxs PE=3 SV=1 MSFDISQFPVLAQANTPDELRQLPQAVLPQLADELRGFLLKSVGKSSGHFASGLGTVELTVALHYVYNTPFDRLVWDVGHQAYPHKILTGRREKMHTIRQKGGVHPFPWREESEYDTFSVGHSGTSISAALAMAVAAEKEQAGRKVVAVIGDGAMTGGMVFEAMNHAGDLHNDMLVVLNDNEMSISENVGALNNHLAQLMSGRFYTTIRESSKKVLQGMPVIKEMAKRTEEHLKGMVVPGTLFEELGFNYIGPIDGHDVDALVETMRNMRNLSGPQILHIMTKKGRGYEPAEKDPIGWHAVPKFDPSTFEKPAAKPCDPTFSEVFGKWLCDIAEKDEKVLGITPAMREGSGMVEFSQRFPKQYFDAAIAEQHAVTFGAGFACEGYKPVVAIYSTFLQRGYDQLIHDVALQRLPVLFAIDRGGIVGADGPTHQGAFDLSFMRIVPNMVIMAPSDENECRQMLYTGYCYNDGPTAVRYPRGSATGAKQVETMTAMPIGKGLLKRQGQKIAILNFGTTLASCLVAAEALDATVADMRFVKPLDVELVKELAANHDVLVTVEENAIMGGAGSGVLELLQTLKMPKPVLLIGLPDEFIKHGAPEEITSELGLDAAGIQKQIEDFIA