Q9RR32 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: 
bafybeibddrsftjuuo3fg7shxgnrraonz4wgoouyivco2d47jrafxivndty/metadata.json
IPFS of structure file: 
bafybeifc6oxvsit7nj2nvxpo6hpzd2ddbnc66lr3hrjz6dbcfnekevneam/AF-Q9RR32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x72863A6D5587eFC72E846eBb9C85252Bf5d4D642
First NFT owner address (bech32): 
genesis1w2rr5m24slhuwt5yd6aeepf9906af4jzdz2vvf
Current NFT ID #280956 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
280956
Accession (UniProt):
Q9RR32
Name::
dTDP-3,4-didehydro-2,6-dideoxy-alpha-D-glucose 3-reductase
Experimental Method:
Predicted structure
Sequence source:
STREPTOMYCES ANTIBIOTICUS

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 Q9RR32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RR32|OLEW_STRAT dTDP-3,4-didehydro-2,6-dideoxy-alpha-D-glucose 3-reductase OS=Streptomyces antibioticus OX=1890 GN=oleW PE=1 SV=1 MPSPRLRFGVLGAADIALRRTVPALLAHPDVTVVAVSSRDTARAARFAAAFGCEAVPGHQALLDRDDIDALYVPLPVMVHTPWVEAALLRGRHVLVEKPLTATRSGAEDLIALARSRGLVLMENFTSLHHAQHGTVTDLLRDGTIGELRSLSAAFTIPPKPEGDIRYQPDVGGGALLDIGIYPLRAALHFLGPDLHAAGAVLRRERRRNVVVSGHVLLTTPHGVVAELAFGMEHAYRSEYTLFGTAGRLRLDRAFTPPETHRPRVEIHRQDALDIVDLPPDAQFANLVRDFVLAVREGPGRLTQHHADAVRQADLVERVMAVARVRWC