Q5E6Z0 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicytllove5eaffqdxqxk6kmvrrdogtkwu5p2rmna5io7atg62jkoq/metadata.json
IPFS of structure file: 
bafybeibjgekxnxss2spxztssuzsz5r5yhtyonp3scoeqim3oly4t6ct7eu/AF-Q5E6Z0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #108101 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108101
Accession (UniProt):
Q5E6Z0
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
ALIIVIBRIO FISCHERI (STRAIN ATCC 700601 / ES114)

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 Q5E6Z0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5E6Z0|DXS_ALIF1 1-deoxy-D-xylulose-5-phosphate synthase OS=Aliivibrio fischeri (strain ATCC 700601 / ES114) OX=312309 GN=dxs PE=3 SV=1 MSLDISKYPILALANTPDELRSLPKESLPALCDELRTYLLNSVSKTSGHLASGLGVVELTVALHYVYNTPFDQLIWDVGHQAYPHKILTGRREQLSTIRQKDGLHPFPWRGESEYDVLSVGHSSTSISAALGLAICAEKEQENRKIVSVIGDGAITAGMAFEALNHAGDIHPDMLVVLNDNEMSISENVGALNNQLARVLSGSLYTSIREGGKKVLSGTPTIKELLKRTEEHLKGMVVPGTMFEELGFNYIGPVDGHDVNELVRTLKNMRNLKGPQFLHIMTKKGKGYEPAEKDPISYHGVPKFDPSNTSLPKSSGGKPTFSAVFGDFLCDMAKEDSKLMAITPAMREGSGMVRFSKEYPNQYFDAAIAEQHAVTLASGMAIAGYNPIVAIYSTFLQRGYDQLIHDVAIMDLPVMFAIDRAGLVGADGQTHQGAFDISFMRCIPNMVIMTPSDENECRQMLYTGHKHTGPSAVRYPRGSATGIQVNNEMQALEIGKGRLLRETKVTEKGERVAILNFGTFLANSLEAAEKLDATVADMRFAKPLDEALICELVTNHDVLVTIEENAISGGAGSGVIEFLMKNRLVKPVLQLGLPDEFIAQGTQEEMHTELKLDANGIEQQIRDYLDL