Q9ALN5 AF NFT

dTDP-3,4-didehydro-2,6-dideoxy-alpha-D-glucose 3-reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibqtwrflo67yetj24jwdt24bq2rpykhlqidkkqkoimz66clgub3ji/metadata.json
IPFS of structure file: 
bafybeih5vmdn5rbmiyn4fsayl3ox7bs24dq6qhqcbahxeuk6f4ckgylxqy/AF-Q9ALN5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x615D528D6D0d9C6Ccb2734Cc50Cd25116E41AB2f
First NFT owner address (bech32): 
genesis1v9w49rtdpkwxeje8xnx9pnf9z9hyr2e0jkqg79
Current NFT ID #435164 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
435164
Accession (UniProt):
Q9ALN5
Name::
dTDP-3,4-didehydro-2,6-dideoxy-alpha-D-glucose 3-reductase
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 Q9ALN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ALN5|SPNN_SACSN dTDP-3,4-didehydro-2,6-dideoxy-alpha-D-glucose 3-reductase OS=Saccharopolyspora spinosa OX=60894 GN=spnN PE=1 SV=1 MRKPVRIGVLGCASFAWRRMLPAMCDVAETEVVAVASRDPAKAERFAARFECEAVLGYQRLLERPDIDAVYVPLPPGMHAEWIGKALEADKHVLAEKPLTTTASDTARLVGLARRKNLLLRENYLFLHHGRHDVVRDLLQSGEIGELREFTAVFGIPPLPDTDIRYRTELGGGALLDIGVYPARAARHFLLGPLTVLGASSHEAQESGVDLSGSVLLQSEGGTVAHLGYGFVHHYRSAYELWGSRGRIVVDRAFTPPAEWQAVIRIERKGVVDELSLPAEDQVRKAVTAFARDIRAGTGVDDPAVAGDSGESMIQQAALVEAIGQARRCGST