Q9RUR0 AF NFT

Putative sugar efflux transporter DR_1322

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6j7bt73hamd27eogzwteju2wxogzgya4baysva27eokdyvy4noy/metadata.json
IPFS of structure file: 
bafybeic4a27z2niv6hwzuuvgw2nmwdmxbs42ii6u3rmznwy42mz257iwqu/AF-Q9RUR0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6dc74119484C5151aCc3EF094b7BB769Ff40c87f
First NFT owner address (bech32): 
genesis1dhr5zx2gf3g4rtxrauy5k7ahd8l5pjrl4ysygh
Current NFT ID #505962 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
505962
Accession (UniProt):
Q9RUR0
Name::
Putative sugar efflux transporter DR_1322
Experimental Method:
Predicted structure
Sequence source:
DEINOCOCCUS RADIODURANS (STRAIN ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422)

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 Q9RUR0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RUR0|Y1322_DEIRA Putative sugar efflux transporter DR_1322 OS=Deinococcus radiodurans (strain ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422) OX=243230 GN=DR_1322 PE=3 SV=1 MPHALGLTLAVLLLGLATSLAGPFMSLFAVQQVGMTPLQLGLFLTFNALSAVLVSTRLGRWADRRSDRKPLVLLTLAAGVLAYLALSGVRSVYGVMATGVLLLAVSSAAFPQVFAFARSGFAQAPGDLPEKAVTVLRAVFSFAWVVGPGVGAAVLGRWSFSGVFLLAALCYALAGLPLLFIRPPAPAPAQPNSAPSPLTQELGAPPAPPMGWVVAAFTLYGMAMHMGMVMFSLFVTETLHGTSAQVGFLVGLCALLEIPVMLLFVLSKRLPGVEWLIKAGLLLFVVHFALIYLAQGMPLLIATQVLRAAVLAVMAGLGMTYFQQLMPGRFSAATTLYSNTSVVGSMLSGIVAGAWAQVFGYRPVFLLCAALSLAAWGMMLWATRRPKLA