Q9ALN8 AF NFT

dTDP-4-dehydro-2,6-dideoxy-D-glucose 3-dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxlo2oo2vui7rployk3lvgc5yos6hoqffcscwkdrh2e55uak5lzm/metadata.json
IPFS of structure file: 
bafybeicgpqjsmpgomomqas4qih6testy7i2vngseqee5npzff457ld74du/AF-Q9ALN8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF41644f9d22c5EB7536Cde74EF3Cc4f1AC48928e
First NFT owner address (bech32): 
genesis17styf7wj930tw5mvme6w70xy7xky3y5wumqa4l
Current NFT ID #435166 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
435166
Accession (UniProt):
Q9ALN8
Name::
dTDP-4-dehydro-2,6-dideoxy-D-glucose 3-dehydratase
Experimental Method:
Predicted structure
Sequence source:
SACCHAROPOLYSPORA SPINOSA

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 Q9ALN8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ALN8|SPNQ_SACSN dTDP-4-dehydro-2,6-dideoxy-D-glucose 3-dehydratase OS=Saccharopolyspora spinosa OX=60894 GN=spnQ PE=1 SV=1 MQSRKTRALGKGRARVTSCDDTCATATEMVPDAKDRILASVRDYHREQESPTFVAGSTPIRPSGAVLDEDDRVALVEAALELRIAAGGNARRFESEFARFFGLRKAHLVNSGSSANLLALSSLTSPKLGEARLRPGDEVITAAVGFPTTINPAVQNGLVPVFVDVELGTYNATPDRIKAAVTERTRAIMLAHTLGNPFAADEIAEIAKEHELFLVEDNCDAVGSTYRGRLTGTFGDLTTVSFYPAHHITSGEGGCVLTGSLELARIIESLRDWGRDCWCEPGVDNTCRKRFDYHLGTLPPGYDHKYTFSHVGYNLKTTDLQAALALSQLSKISAFGSARRRNWRRLREGLSGLPGLLLPVATPHSDPSWFGFAITISADAGFTRAALVNFLESRNIGTRLLFGGNITRHPAFEQVRYRIADALTNSDIVTDRTFWVGVYPGITDQMIDYVVESIAEFVAKSS